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50
Using free and open source tools to manage software quality
https://dl.acm.org/doi/10.1145/2755503
Phelim Dowling; Kevin McGrath
An agile process implementation
Communications of the ACM (CACM), Volume 58, Issue 7 Pages 51–55 https://doi.org/10.1145/2755503
https://dl.acm.org/doi/pdf/10.1145/2755503
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1
Interactive intent modeling
https://dl.acm.org/doi/10.1145/2656334
Tuukka Ruotsalo; Giulio Jacucci; Petri Myllymäki; Samuel Kaski
The system should let users incrementally direct their search toward relevant, though not initially obvious, information.
Communications of the ACM (CACM), Volume 58, Issue 1 Pages 86–92 https://doi.org/10.1145/2656334
https://dl.acm.org/doi/pdf/10.1145/2656334
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2
Optimality in robot motion
https://dl.acm.org/doi/10.1145/2629535
Jean-Paul Laumond; Nicolas Mansard; Jean-Bernard Lasserre
Exploring the distinction between an optimal robot motion and a robot motion resulting from the application of optimization techniques.
Communications of the ACM (CACM), Volume 57, Issue 9 Pages 82–89 https://doi.org/10.1145/2629535
https://dl.acm.org/doi/pdf/10.1145/2629535
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3
Motion fields for interactive character locomotion
https://dl.acm.org/doi/10.1145/2602758
Yongjoon Lee; Kevin Wampler; Gilbert Bernstein; Jovan Popović; Zoran Popović
We propose a novel representation of motion data and control of virtual characters that gives highly agile responses to user input and allows a natural handling of arbitrary external disturbances. In contrast to traditional approaches based on replaying ...
Communications of the ACM (CACM), Volume 57, Issue 6 Pages 101–108 https://doi.org/10.1145/2602758
https://dl.acm.org/doi/pdf/10.1145/2602758
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4
Convolution engine
https://dl.acm.org/doi/10.1145/2735841
Wajahat Qadeer; Rehan Hameed; Ofer Shacham; Preethi Venkatesan; Christos Kozyrakis; Mark Horowitz
General-purpose processors, while tremendously versatile, pay a huge cost for their flexibility by wasting over 99% of the energy in programmability overheads. We observe that reducing this waste requires tuning data storage and compute structures and ...
Communications of the ACM (CACM), Volume 58, Issue 4 Pages 85–93 https://doi.org/10.1145/2735841
https://dl.acm.org/doi/pdf/10.1145/2735841
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5
And then there were none
https://dl.acm.org/doi/10.1145/2534706.2534726
David F. Bacon; Perry Cheng; Sunil Shukla
null
Communications of the ACM (CACM), Volume 56, Issue 12 Pages 101–109 https://doi.org/10.1145/2534706.2534726
https://dl.acm.org/doi/pdf/10.1145/2534706.2534726
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6
Beyond viral
https://dl.acm.org/doi/10.1145/2818992
Manuel Cebrian; Iyad Rahwan; Alex "Sandy" Pentland
The proliferation of social media usage has not resulted in significant social change.
Communications of the ACM (CACM), Volume 59, Issue 4 Pages 36–39 https://doi.org/10.1145/2818992
https://dl.acm.org/doi/pdf/10.1145/2818992
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7
Making the case for a "manufacturing execution system" for software development
https://dl.acm.org/doi/10.1145/2629458
Martin Naedele; Rick Kazman; Yuanfang Cai
Seeking to improve information integration throughout the manufacturing process.
Communications of the ACM (CACM), Volume 57, Issue 12 Pages 33–36 https://doi.org/10.1145/2629458
https://dl.acm.org/doi/pdf/10.1145/2629458
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8
Guided exploration of physically valid shapes for furniture design
https://dl.acm.org/doi/10.1145/2801945
Nobuyuki Umentani; Takeo Igarashi; Niloy J. Mitra
It is common to use computers to design shapes of physical objects such as furniture, but geometric modeling and the physical validity of shapes are conventionally considered independently. This makes creating aesthetically pleasing yet physically valid ...
Communications of the ACM (CACM), Volume 58, Issue 9 Pages 116–124 https://doi.org/10.1145/2801945
https://dl.acm.org/doi/pdf/10.1145/2801945
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9
Seeking anonymity in an internet panopticon
https://dl.acm.org/doi/10.1145/2714561
Joan Feigenbaum; Bryan Ford
The Dissent system aims for a quantifiably secure, collective approach to anonymous communication online.
Communications of the ACM (CACM), Volume 58, Issue 10 Pages 58–69 https://doi.org/10.1145/2714561
https://dl.acm.org/doi/pdf/10.1145/2714561
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10
Non-volatile storage
https://dl.acm.org/doi/10.1145/2814342
Mihir Nanavati; Malte Schwarzkopf; Jake Wires; Andrew Warfield
Implications of the datacenter's shifting center.
Communications of the ACM (CACM), Volume 59, Issue 1 Pages 56–63 https://doi.org/10.1145/2814342
https://dl.acm.org/doi/pdf/10.1145/2814342
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11
Unikernels
https://dl.acm.org/doi/10.1145/2541883.2541895
Anil Madhavapeddy; David J. Scott
What if all the software layers in a virtual appliance were compiled within the same safe, high-level language framework?
Communications of the ACM (CACM), Volume 57, Issue 1 Pages 61–69 https://doi.org/10.1145/2541883.2541895
https://dl.acm.org/doi/pdf/10.1145/2541883.2541895
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12
Making parallel programs reliable with stable multithreading
https://dl.acm.org/doi/10.1145/2500875
Junfeng Yang; Heming Cui; Jingyue Wu; Yang Tang; Gang Hu
Stable multithreading dramatically simplifies the interleaving behaviors of parallel programs, offering new hope for making parallel programming easier.
Communications of the ACM (CACM), Volume 57, Issue 3 Pages 58–69 https://doi.org/10.1145/2500875
https://dl.acm.org/doi/pdf/10.1145/2500875
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ID
Title
ArticleURL
Authors
Description
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1
Multi-modal Sentiment Feature Learning Based on Sentiment Signal
https://dl.acm.org/doi/10.1145/3127404.3127410
Dazhen Lin; Lingxiao Li; Donglin Cao; Shaozi Li
The multi-modal characteristic of social media content (e.g. texts and images) significantly challenges traditional text-based sentiment analysis approaches, multi-modal sentiment analysis gets great theoretical value for understanding and analysis of ...
ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing Pages 33–40 https://doi.org/10.1145/3127404.3127410
null
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2
A Car Type Recognition Algorithm with Traffic Image based on Structure Features
https://dl.acm.org/doi/10.1145/3127404.3127435
Bo Liu; Jun Feng; Hongcai Chen; Changyou Zhang
Aiming at the problem of high recognition error, a method for car type recognition with traffic image is proposed based on component structure features in this paper. Firstly, structure features of multiple components are extracted. Secondly, the ...
ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing Pages 181–184 https://doi.org/10.1145/3127404.3127435
null
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3
On the Sphere of Applying AI in Government Approval Service: Analysis According to the Data of Submitting in Seconds and Getting Result in Seconds Services in Shenzhen City
https://dl.acm.org/doi/10.1145/3657054.3657067
Yi Long
The most typical initiative to combine artificial intelligence technology with government services is intelligent approval, which has been increasingly used in China recently. The applicable sphere of this initiative should be analyzed. Based on the data ...
dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government Research Pages 932–940 https://doi.org/10.1145/3657054.3657067
https://dl.acm.org/doi/pdf/10.1145/3657054.3657067
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4
Crowdsourcing of public service: Decision-making and organizational characteristics with digital technology as a key variable: Take C district of Guangdong Province as an example
https://dl.acm.org/doi/10.1145/3657054.3657071
Mengjia Yao; Hongbo Liu
随着互联网和大数据等新兴技术的普及, 公众通过收集并共享数据信息, 将自身的智慧与力量用于解决治理问题, 形成了一种政民合作新模式, 即公共服务众包 为了揭示公共服务众包的成因与特征, 文章依托技术与组织的关联视角, 按照“提炼关键问题—搭建分析框架—观察案例实践—解析研究问题”的思路, 对广东省C区城市治理领域的公共服务众包案例进行深入探究 研究发现:一是组织环境形塑政府行为 在效率期待和正当性期待的双重压力下, 城市管理部门做出创新决策, 通过行为模仿重塑治理模式, 公共服务众包由此产生 ...
dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government Research Pages 949–959 https://doi.org/10.1145/3657054.3657071
null
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5
Sampled Feature Replay and Multilayer Knowledge Distillation for Class-Incremental learning
https://dl.acm.org/doi/10.1145/3594315.3594394
An Wen; Yina Yang; Ruqiao Xu; Jingyi Zhu; Qiang Wang
Deep neural network is subject to catastrophic forgetting when learning new data incrementally. In this work we propose a class incremental learning algorithm based on feature replay and multi-layer spatial distillation to address the problem of data ...
ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence Pages 702–708 https://doi.org/10.1145/3594315.3594394
null
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6
Feature Analysis and Impact Mechanism of Policy Diffusion from a Policy Citation Function Perspective
https://dl.acm.org/doi/10.1145/3657054.3660569
Leilei Liu; Zhichao Ba; Yikun Xia; Ke Dong; Jiqiang Qu
Understanding the characteristics and impact mechanisms of policy diffusion is crucial for facilitating policy dissemination, enhancing existing policy systems, and optimizing subsequent policy design. As an observable, recordable, and traceable imprint ...
dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government Research Pages 960–972 https://doi.org/10.1145/3657054.3660569
null
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7
Coordinated research on digital economic policies in the Yangtze River Delta region of China
https://dl.acm.org/doi/10.1145/3657054.3657176
Lin Zhu; Yumeng Cao
摘要:数字经济已成为我国经济增量提质、转型发展的重要动能。党和国家明确提出了数字经济发展的战略规划, 各级地方政府也需要制定符合数字经济特点的政策, 以适应数字经济发展的新变化和新需求。数字经济政策协同在充分发挥数字经济潜力、实现经济增长优化、缩小地区发展差距以及克服传统监管障碍等方面至关重要。本文基于来自中央层面和长三角地区的共251份数字经济政策样本, 构建了政策评价指标体系并对数字经济政策进行量化评价, 再利用所得的综合评价指数计算耦合协调度, 从而测算数字经济政策的央地协同和区域协同水平。...
dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government Research Pages 995–999 https://doi.org/10.1145/3657054.3657176
null
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8
Research on Parents and Left-behind Children Online Communication Solution Based on Habit Formation Theory
https://dl.acm.org/doi/10.1145/3403676.3403688
Qingjun Lv; Lunan Liu; Shuo Yan
With the rapid urbanization development in China, the number of left-behind children has increased. Recently, the popularity of intelligent mobile devices makes the communication between left-behind children and their parents much easier. However, the ...
Chinese CHI '20: Proceedings of the Eighth International Workshop of Chinese CHI Pages 73–76 https://doi.org/10.1145/3403676.3403688
null
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9
Semantic Navigation of Keyword Search Based on Knowledge Graph
https://dl.acm.org/doi/10.1145/3127404.3127437
Bo Peng; Guohua Chen; Yong Tang; Saimei Sun; Yuxia Sun
Aiming at the problem that the semantic navigation of keyword search can not meet the potential navigation requirements of users, this paper proposes two kinds of semantic navigation schemes1. First, we use TFIDF to extract core keywords and construct ...
ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing Pages 189–192 https://doi.org/10.1145/3127404.3127437
null
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10
ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence
https://dl.acm.org/doi/proceedings/10.1145/3594315
null
null
null
null
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11
Online Algorithms of Task Allocation in Spatial Crowdsourcing
https://dl.acm.org/doi/10.1145/3127404.3127443
Yong Sun; Jun Wang; Wenan Tan
Recently, spatial collaborations1 and crowdsourcing has emerged as a novel typical pattern for applying to a range of problems. A key problem of spatial collaboration is to allocate suitable workers to nearby tasks in a real-time online way. Traditional ...
ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing Pages 205–208 https://doi.org/10.1145/3127404.3127443
null
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12
dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government Research
https://dl.acm.org/doi/proceedings/10.1145/3657054
Hsin-Chung Liao; David Duenas Cid; Marie Anne Macadar; Flavia Bernardini
null
null
null
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13
End User Accounts of Dark Patterns as Felt Manipulation
https://dl.acm.org/doi/10.1145/3479516
Colin M. Gray; Jingle Chen; Shruthi Sai Chivukula; Liyang Qu
Manipulation defines many of our experiences as a consumer, including subtle nudges and overt advertising campaigns that seek to gain our attention and money. With the advent of digital services that can continuously optimize online experiences to favor ...
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 5, Issue CSCW2 Article No.: 372 , Pages 1–25 https://doi.org/10.1145/3479516
https://dl.acm.org/doi/pdf/10.1145/3479516
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14
Lost in Translation: A Cross-Cultural Examination of Linguistic Inaccessibility in HCI
https://dl.acm.org/doi/10.1145/3706599.3716229
Eszter Vigh; Ellen Weir; Nathalie Alexandra Penglin Tcherdakoff; Grace Jane Stangroome; Yelu Gu; Oussama Metatla; Mamoru Watanabe; René Schäfer; Sophie Hahn; Konrad Mikolaj Krawczyk; Marcela Godoy; Rodolfo Cossovich; Randy Morin; Kristine Dreaver-Charles; Marguerite Koole; Frank B. W. Lewis
This paper examines linguistic and cultural diversity in Human-Computer Interaction through multilingual experiences across various native languages, including Hungarian, Japanese, Cree, German, Welsh, Spanish, Mandarin, French, Polish, and Arabic. Each ...
CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems Article No.: 635 , Pages 1–16 https://doi.org/10.1145/3706599.3716229
null
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15
CSAI '23: Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence
https://dl.acm.org/doi/proceedings/10.1145/3638584
null
null
null
null
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16
CHCHI '24: Proceedings of the Twelfth International Symposium of Chinese CHI
https://dl.acm.org/doi/proceedings/10.1145/3758871
null
null
null
null
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17
Inductive programming meets the real world
https://dl.acm.org/doi/10.1145/2736282
Sumit Gulwani; José Hernández-Orallo; Emanuel Kitzelmann; Stephen H. Muggleton; Ute Schmid; Benjamin Zorn
Inductive programming can liberate users from performing tedious and repetitive tasks.
Communications of the ACM (CACM), Volume 58, Issue 11 Pages 90–99 https://doi.org/10.1145/2736282
https://dl.acm.org/doi/pdf/10.1145/2736282
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18
Spatial computing
https://dl.acm.org/doi/10.1145/2756547
Shashi Shekhar; Steven K. Feiner; Walid G. Aref
Knowing where you are in space and time promises a deeper understanding of neighbors, ecosystems, and the environment.
Communications of the ACM (CACM), Volume 59, Issue 1 Pages 72–81 https://doi.org/10.1145/2756547
https://dl.acm.org/doi/pdf/10.1145/2756547
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19
Exascale computing and big data
https://dl.acm.org/doi/10.1145/2699414
Daniel A. Reed; Jack Dongarra
Scientific discovery and engineering innovation requires unifying traditionally separated high-performance computing and big data analytics.
Communications of the ACM (CACM), Volume 58, Issue 7 Pages 56–68 https://doi.org/10.1145/2699414
https://dl.acm.org/doi/pdf/10.1145/2699414
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20
Future internets escape the simulator
https://dl.acm.org/doi/10.1145/2699392
Mark Berman; Piet Demeester; Jae Woo Lee; Kiran Nagaraja; Michael Zink; Didier Colle; Dilip Kumar Krishnappa; Dipankar Raychaudhuri; Henning Schulzrinne; Ivan Seskar; Sachin Sharma
Future Internet testbeds permit experiments not possible in today's public Net or commercial cloud services.
Communications of the ACM (CACM), Volume 58, Issue 6 Pages 78–89 https://doi.org/10.1145/2699392
https://dl.acm.org/doi/pdf/10.1145/2699392
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21
A historical perspective of speech recognition
https://dl.acm.org/doi/10.1145/2500887
Xuedong Huang; James Baker; Raj Reddy
What do we know now that we did not know 40 years ago?
Communications of the ACM (CACM), Volume 57, Issue 1 Pages 94–103 https://doi.org/10.1145/2500887
https://dl.acm.org/doi/pdf/10.1145/2500887
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22
Undergraduate software engineering
https://dl.acm.org/doi/10.1145/2632361
Michael J. Lutz; J. Fernando Naveda; James R. Vallino
Addressing the needs of professional software development.
Communications of the ACM (CACM), Volume 57, Issue 8 Pages 52–58 https://doi.org/10.1145/2632361
https://dl.acm.org/doi/pdf/10.1145/2632361
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23
Hopes, fears, and software obfuscation
https://dl.acm.org/doi/10.1145/2757276
Boaz Barak
What does it mean to be secure?
Communications of the ACM (CACM), Volume 59, Issue 3 Pages 88–96 https://doi.org/10.1145/2757276
https://dl.acm.org/doi/pdf/10.1145/2757276
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24
YFCC100M
https://dl.acm.org/doi/10.1145/2812802
Bart Thomee; David A. Shamma; Gerald Friedland; Benjamin Elizalde; Karl Ni; Douglas Poland; Damian Borth; Li-Jia Li
This publicly available curated dataset of almost 100 million photos and videos is free and legal for all.
Communications of the ACM (CACM), Volume 59, Issue 2 Pages 64–73 https://doi.org/10.1145/2812802
https://dl.acm.org/doi/pdf/10.1145/2812802
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25
Forging relationships
https://dl.acm.org/doi/10.1145/2754956
Neil Savage
Michael Stonebraker didn't realize at the outset that it would take six years to create INGRES, one of the world's first relational databases.
Communications of the ACM (CACM), Volume 58, Issue 6 Pages 22–23 https://doi.org/10.1145/2754956
https://dl.acm.org/doi/pdf/10.1145/2754956
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26
Commonsense reasoning and commonsense knowledge in artificial intelligence
https://dl.acm.org/doi/10.1145/2701413
Ernest Davis; Gary Marcus
AI has seen great advances of many kinds recently, but there is one critical area where progress has been extremely slow: ordinary commonsense.
Communications of the ACM (CACM), Volume 58, Issue 9 Pages 92–103 https://doi.org/10.1145/2701413
https://dl.acm.org/doi/pdf/10.1145/2701413
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27
Data science and prediction
https://dl.acm.org/doi/10.1145/2500499
Vasant Dhar
Big data promises automated actionable knowledge creation and predictive models for use by both humans and computers.
Communications of the ACM (CACM), Volume 56, Issue 12 Pages 64–73 https://doi.org/10.1145/2500499
https://dl.acm.org/doi/pdf/10.1145/2500499
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28
Unifying logic and probability
https://dl.acm.org/doi/10.1145/2699411
Stuart Russell
Open-universe probability models show merit in unifying efforts.
Communications of the ACM (CACM), Volume 58, Issue 7 Pages 88–97 https://doi.org/10.1145/2699411
https://dl.acm.org/doi/pdf/10.1145/2699411
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29
The interplay of neuroscience and cryptography
https://dl.acm.org/doi/10.1145/2594446
Ari Juels; Bonnie Wong
null
Communications of the ACM (CACM), Volume 57, Issue 5 Page 109 https://doi.org/10.1145/2594446
https://dl.acm.org/doi/pdf/10.1145/2594446
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30
Researching the robot revolution
https://dl.acm.org/doi/10.1145/2633039
Frank Levy; Richard J. Murnane
Considering a program for cross-disciplinary research between computer scientists and economists studying the effects of computers on work.
Communications of the ACM (CACM), Volume 57, Issue 8 Pages 33–35 https://doi.org/10.1145/2633039
https://dl.acm.org/doi/pdf/10.1145/2633039
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31
Learning to name objects
https://dl.acm.org/doi/10.1145/2885252
Vicente Ordonez; Wei Liu; Jia Deng; Yejin Choi; Alexander C. Berg; Tamara L. Berg
We have seen remarkable recent progress in computational visual recognition, producing systems that can classify objects into thousands of different categories with increasing accuracy. However, one question that has received relatively less attention ...
Communications of the ACM (CACM), Volume 59, Issue 3 Pages 108–115 https://doi.org/10.1145/2885252
https://dl.acm.org/doi/pdf/10.1145/2885252
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32
Exploratory engineering in artificial intelligence
https://dl.acm.org/doi/10.1145/2644257
Luke Muehlhauser; Bill Hibbard
Using theoretical models to plan for AI safety.
Communications of the ACM (CACM), Volume 57, Issue 9 Pages 32–34 https://doi.org/10.1145/2644257
https://dl.acm.org/doi/pdf/10.1145/2644257
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33
Information cartography
https://dl.acm.org/doi/10.1145/2735624
Dafna Shahaf; Carlos Guestrin; Eric Horvitz; Jure Leskovec
A metro map can tell a story, as well as provide good directions.
Communications of the ACM (CACM), Volume 58, Issue 11 Pages 62–73 https://doi.org/10.1145/2735624
https://dl.acm.org/doi/pdf/10.1145/2735624
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34
Big data and its technical challenges
https://dl.acm.org/doi/10.1145/2611567
H. V. Jagadish; Johannes Gehrke; Alexandros Labrinidis; Yannis Papakonstantinou; Jignesh M. Patel; Raghu Ramakrishnan; Cyrus Shahabi
Exploring the inherent technical challenges in realizing the potential of Big Data.
Communications of the ACM (CACM), Volume 57, Issue 7 Pages 86–94 https://doi.org/10.1145/2611567
https://dl.acm.org/doi/pdf/10.1145/2611567
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35
The responsive enterprise
https://dl.acm.org/doi/10.1145/2677032
Erik Meijer; Vikram Kapoor
Soon every company will be a software company.
Communications of the ACM (CACM), Volume 57, Issue 12 Pages 38–43 https://doi.org/10.1145/2677032
https://dl.acm.org/doi/pdf/10.1145/2677032
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36
Who does what in a massive open online course?
https://dl.acm.org/doi/10.1145/2500876
Daniel T. Seaton; Yoav Bergner; Isaac Chuang; Piotr Mitros; David E. Pritchard
Student-participation data from the inaugural MITx (now edX) course---6.002x: Circuits and Electronics---unpacks MOOC student behavior.
Communications of the ACM (CACM), Volume 57, Issue 4 Pages 58–65 https://doi.org/10.1145/2500876
https://dl.acm.org/doi/pdf/10.1145/2500876
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37
Disambiguating databases
https://dl.acm.org/doi/10.1145/2687880
Rick Richardson
Use the database built for your access model.
Communications of the ACM (CACM), Volume 58, Issue 1 Pages 54–61 https://doi.org/10.1145/2687880
https://dl.acm.org/doi/pdf/10.1145/2687880
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38
An embarrassment of riches
https://dl.acm.org/doi/10.1145/2629560
Mark Klein; Gregorio Convertino
A critical review of open innovation systems.
Communications of the ACM (CACM), Volume 57, Issue 11 Pages 40–42 https://doi.org/10.1145/2629560
https://dl.acm.org/doi/pdf/10.1145/2629560
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39
Scene understanding by labeling pixels
https://dl.acm.org/doi/10.1145/2629637
Stephen Gould; Xuming He
Pixels labeled with a scene's semantics and geometry let computers describe what they see.
Communications of the ACM (CACM), Volume 57, Issue 11 Pages 68–77 https://doi.org/10.1145/2629637
https://dl.acm.org/doi/pdf/10.1145/2629637
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40
The value of social theories for global computing
https://dl.acm.org/doi/10.1145/2804246
Dorothea Kleine
Conceptual toolkits for projects that work.
Communications of the ACM (CACM), Volume 58, Issue 9 Pages 31–33 https://doi.org/10.1145/2804246
https://dl.acm.org/doi/pdf/10.1145/2804246
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41
From MOOCs to SPOCs
https://dl.acm.org/doi/10.1145/2535918
Armando Fox
Supplementing the classroom experience with small private online courses.
Communications of the ACM (CACM), Volume 56, Issue 12 Pages 38–40 https://doi.org/10.1145/2535918
https://dl.acm.org/doi/pdf/10.1145/2535918
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42
Rise of concerns about AI
https://dl.acm.org/doi/10.1145/2770869
Thomas G. Dietterich; Eric J. Horvitz
Research, leadership, and communication about AI futures.
Communications of the ACM (CACM), Volume 58, Issue 10 Pages 38–40 https://doi.org/10.1145/2770869
https://dl.acm.org/doi/pdf/10.1145/2770869
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43
Sketch-Thru-Plan
https://dl.acm.org/doi/10.1145/2735589
Philip R. Cohen; Edward C. Kaiser; M. Cecelia Buchanan; Scott Lind; Michael J. Corrigan; R. Matthews Wesson
Speaking military jargon, users can create labels and draw symbols to position objects on digitized maps.
Communications of the ACM (CACM), Volume 58, Issue 4 Pages 56–65 https://doi.org/10.1145/2735589
https://dl.acm.org/doi/pdf/10.1145/2735589
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44
Automated QA testing at electronic arts
https://dl.acm.org/doi/10.1145/2617754
null
A discussion with Michael Donat, Jafar Husain, and Terry Coatta
Communications of the ACM (CACM), Volume 57, Issue 7 Pages 50–57 https://doi.org/10.1145/2617754
https://dl.acm.org/doi/pdf/10.1145/2617754
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45
Learning through computational creativity
https://dl.acm.org/doi/10.1145/2699391
Leen-Kiat Soh; Duane F. Shell; Elizabeth Ingraham; Stephen Ramsay; Brian Moore
Improving learning and achievement in introductory computer science by incorporating creative thinking into the curriculum.
Communications of the ACM (CACM), Volume 58, Issue 8 Pages 33–35 https://doi.org/10.1145/2699391
https://dl.acm.org/doi/pdf/10.1145/2699391
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46
Big data needs approximate computing
https://dl.acm.org/doi/10.1145/2688072
Ravi Nair
null
Communications of the ACM (CACM), Volume 58, Issue 1 Page 104 https://doi.org/10.1145/2688072
https://dl.acm.org/doi/pdf/10.1145/2688072
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47
Computationally modeling human emotion
https://dl.acm.org/doi/10.1145/2631912
Stacy Marsella; Jonathan Gratch
Computer models of emotion inform theories of human intelligence and advance human-centric applications.
Communications of the ACM (CACM), Volume 57, Issue 12 Pages 56–67 https://doi.org/10.1145/2631912
https://dl.acm.org/doi/pdf/10.1145/2631912
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48
Certificate transparency
https://dl.acm.org/doi/10.1145/2659897
Ben Laurie
Public, verifiable, append-only logs.
Communications of the ACM (CACM), Volume 57, Issue 10 Pages 40–46 https://doi.org/10.1145/2659897
https://dl.acm.org/doi/pdf/10.1145/2659897
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49
Personalizing maps
https://dl.acm.org/doi/10.1145/2756546
Andrea Ballatore; Michela Bertolotto
Digital maps can be engineered to adapt to a person's unique interests and experience in geographic space.
Communications of the ACM (CACM), Volume 58, Issue 12 Pages 68–74 https://doi.org/10.1145/2756546
https://dl.acm.org/doi/pdf/10.1145/2756546
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50
Understanding the empirical hardness ofNP-complete problems
https://dl.acm.org/doi/10.1145/2594413.2594424
Kevin Leyton-Brown; Holger H. Hoos; Frank Hutter; Lin Xu
Using machine learning to predict algorithm runtime.
Communications of the ACM (CACM), Volume 57, Issue 5 Pages 98–107 https://doi.org/10.1145/2594413.2594424
https://dl.acm.org/doi/pdf/10.1145/2594413.2594424
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1
Touchless interaction in surgery
https://dl.acm.org/doi/10.1145/2541883.2541899
Kenton O'Hara; Gerardo Gonzalez; Abigail Sellen; Graeme Penney; Andreas Varnavas; Helena Mentis; Antonio Criminisi; Robert Corish; Mark Rouncefield; Neville Dastur; Tom Carrell
Touchless interaction with medical images lets surgeons maintain sterility during surgical procedures.
Communications of the ACM (CACM), Volume 57, Issue 1 Pages 70–77 https://doi.org/10.1145/2541883.2541899
https://dl.acm.org/doi/pdf/10.1145/2541883.2541899
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2
Repeatability in computer systems research
https://dl.acm.org/doi/10.1145/2812803
Christian Collberg; Todd A. Proebsting
To encourage repeatable research, fund repeatability engineering and reward commitments to sharing research artifacts.
Communications of the ACM (CACM), Volume 59, Issue 3 Pages 62–69 https://doi.org/10.1145/2812803
https://dl.acm.org/doi/pdf/10.1145/2812803
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3
Human-agent collectives
https://dl.acm.org/doi/10.1145/2629559
N. R. Jennings; L. Moreau; D. Nicholson; S. Ramchurn; S. Roberts; T. Rodden; A. Rogers
HACs offer a new science for exploring the computational and human aspects of society.
Communications of the ACM (CACM), Volume 57, Issue 12 Pages 80–88 https://doi.org/10.1145/2629559
https://dl.acm.org/doi/pdf/10.1145/2629559
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4
When technologies manipulate our emotions
https://dl.acm.org/doi/10.1145/2746227
Rafael A. Calvo; Dorian Peters; Sidney D'Mello
Implications of the Facebook emotions study.
Communications of the ACM (CACM), Volume 58, Issue 11 Pages 41–42 https://doi.org/10.1145/2746227
https://dl.acm.org/doi/pdf/10.1145/2746227
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5
Structural challenges and the need to adapt
https://dl.acm.org/doi/10.1145/2618109
Batya Friedman
Broadening the conversation about scholars and scholarship in computing and information research.
Communications of the ACM (CACM), Volume 57, Issue 7 Pages 34–37 https://doi.org/10.1145/2618109
https://dl.acm.org/doi/pdf/10.1145/2618109
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6
Reading news with maps by exploiting spatial synonyms
https://dl.acm.org/doi/10.1145/2629572
Hanan Samet; Jagan Sankaranarayanan; Michael D. Lieberman; Marco D. Adelfio; Brendan C. Fruin; Jack M. Lotkowski; Daniele Panozzo; Jon Sperling; Benjamin E. Teitler
Use this map query interface to search the world, even when not sure what information you seek.
Communications of the ACM (CACM), Volume 57, Issue 10 Pages 64–77 https://doi.org/10.1145/2629572
https://dl.acm.org/doi/pdf/10.1145/2629572
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7
Soylent
https://dl.acm.org/doi/10.1145/2791285
Michael S. Bernstein; Greg Little; Robert C. Miller; Björn Hartmann; Mark S. Ackerman; David R. Karger; David Crowell; Katrina Panovich
This paper introduces architectural and interaction patterns for integrating crowdsourced human contributions directly into user interfaces. We focus on writing and editing, complex endeavors that span many levels of conceptual and pragmatic activity. ...
Communications of the ACM (CACM), Volume 58, Issue 8 Pages 85–94 https://doi.org/10.1145/2791285
https://dl.acm.org/doi/pdf/10.1145/2791285
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8
Using free and open source tools to manage software quality
https://dl.acm.org/doi/10.1145/2755503
Phelim Dowling; Kevin McGrath
An agile process implementation
Communications of the ACM (CACM), Volume 58, Issue 7 Pages 51–55 https://doi.org/10.1145/2755503
https://dl.acm.org/doi/pdf/10.1145/2755503
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9
Privacy behaviors after Snowden
https://dl.acm.org/doi/10.1145/2663341
Sören Preibusch
Despite continuing media coverage, the public's privacy behaviors have hardly changed.
Communications of the ACM (CACM), Volume 58, Issue 5 Pages 48–55 https://doi.org/10.1145/2663341
https://dl.acm.org/doi/pdf/10.1145/2663341
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10
How to build a bad research center
https://dl.acm.org/doi/10.1145/2566969
David Patterson
Sharing lessons learned from experiences creating successful multidisciplinary research centers.
Communications of the ACM (CACM), Volume 57, Issue 3 Pages 33–36 https://doi.org/10.1145/2566969
https://dl.acm.org/doi/pdf/10.1145/2566969
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11
The Beckman report on database research
https://dl.acm.org/doi/10.1145/2845915
Daniel Abadi; Rakesh Agrawal; Anastasia Ailamaki; Magdalena Balazinska; Philip A. Bernstein; Michael J. Carey; Surajit Chaudhuri; Jeffrey Dean; AnHai Doan; Michael J. Franklin; Johannes Gehrke; Laura M. Haas; Alon Y. Halevy; Joseph M. Hellerstein; Yannis E. Ioannidis; H. V. Jagadish; Donald Kossmann; Samuel Madden; Sha...
Database researchers paint big data as a defining challenge. To make the most of the enormous opportunities at hand will require focusing on five research areas.
Communications of the ACM (CACM), Volume 59, Issue 2 Pages 92–99 https://doi.org/10.1145/2845915
https://dl.acm.org/doi/pdf/10.1145/2845915
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12
Robots are coming
https://dl.acm.org/doi/10.1145/2594457
Ruzena Bajcsy
Considering the societal implications of the robotics revolution.
Communications of the ACM (CACM), Volume 57, Issue 5 Pages 42–43 https://doi.org/10.1145/2594457
https://dl.acm.org/doi/pdf/10.1145/2594457
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13
The API performance contract
https://dl.acm.org/doi/10.1145/2576792
Robert F. Sproull; Jim Waldo
How can the expected interactions between caller and implementation be guaranteed?
Communications of the ACM (CACM), Volume 57, Issue 3 Pages 45–51 https://doi.org/10.1145/2576792
https://dl.acm.org/doi/pdf/10.1145/2576792
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14
Answering enumeration queries with the crowd
https://dl.acm.org/doi/10.1145/2845644
Beth Trushkowsky; Tim Kraska; Michael J. Franklin; Purnamrita Sarkar
null
Communications of the ACM (CACM), Volume 59, Issue 1 Pages 118–127 https://doi.org/10.1145/2845644
https://dl.acm.org/doi/pdf/10.1145/2845644
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15
Replicated data consistency explained through baseball
https://dl.acm.org/doi/10.1145/2500500
Doug Terry
A broader class of consistency guarantees can, and perhaps should, be offered to clients that read shared data.
Communications of the ACM (CACM), Volume 56, Issue 12 Pages 82–89 https://doi.org/10.1145/2500500
https://dl.acm.org/doi/pdf/10.1145/2500500
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16
Abstractions for software-defined networks
https://dl.acm.org/doi/10.1145/2661061.2661063
Martin Casado; Nate Foster; Arjun Guha
New abstractions are critical for achieving SDN goals.
Communications of the ACM (CACM), Volume 57, Issue 10 Pages 86–95 https://doi.org/10.1145/2661061.2661063
https://dl.acm.org/doi/pdf/10.1145/2661061.2661063
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17
Can traditional programming bridge the ninja performance gap for parallel computing applications?
https://dl.acm.org/doi/10.1145/2742910
Nadathur Satish; Changkyu Kim; Jatin Chhugani; Hideki Saito; Rakesh Krishnaiyer; Mikhail Smelyanskiy; Milind Girkar; Pradeep Dubey
null
Communications of the ACM (CACM), Volume 58, Issue 5 Pages 77–86 https://doi.org/10.1145/2742910
https://dl.acm.org/doi/pdf/10.1145/2742910
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18
Security, cybercrime, and scale
https://dl.acm.org/doi/10.1145/2654847
Cormac Herley
Defense begins by identifying the targets likely to yield the greatest reward for an attacker's investment.
Communications of the ACM (CACM), Volume 57, Issue 9 Pages 64–71 https://doi.org/10.1145/2654847
https://dl.acm.org/doi/pdf/10.1145/2654847
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19
Node at LinkedIn
https://dl.acm.org/doi/10.1145/2556647.2556656
null
A discussion with Kiran Prasad, Kelly Norton, and Terry Coatta.
Communications of the ACM (CACM), Volume 57, Issue 2 Pages 44–51 https://doi.org/10.1145/2556647.2556656
https://dl.acm.org/doi/pdf/10.1145/2556647.2556656
免费
20
Security and privacy for augmented reality systems
https://dl.acm.org/doi/10.1145/2580723.2580730
Franziska Roesner; Tadayoshi Kohno; David Molnar
AR systems pose potential security concerns that should be addressed before the systems become widespread.
Communications of the ACM (CACM), Volume 57, Issue 4 Pages 88–96 https://doi.org/10.1145/2580723.2580730
https://dl.acm.org/doi/pdf/10.1145/2580723.2580730
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21
Implementing distributed shared memory for dynamic networks
https://dl.acm.org/doi/10.1145/2500874
Peter Musial; Nicolas Nicolaou; Alexander A. Shvartsman
Atomically consistent memory services provide resiliency in dynamic settings.
Communications of the ACM (CACM), Volume 57, Issue 6 Pages 88–98 https://doi.org/10.1145/2500874
https://dl.acm.org/doi/pdf/10.1145/2500874
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22
Turing lectureThe computer science of concurrency
https://dl.acm.org/doi/10.1145/2771951
Leslie Lamport
Leslie Lamport is the recipient of the 2013 ACM A.M. Turing Award.
Communications of the ACM (CACM), Volume 58, Issue 6 Pages 71–76 https://doi.org/10.1145/2771951
https://dl.acm.org/doi/pdf/10.1145/2771951
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ArticleURL
Authors
Description
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PDF_URL
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1
On the Sphere of Applying AI in Government Approval Service: Analysis According to the Data of Submitting in Seconds and Getting Result in Seconds Services in Shenzhen City
https://dl.acm.org/doi/10.1145/3657054.3657067
Yi Long
The most typical initiative to combine artificial intelligence technology with government services is intelligent approval, which has been increasingly used in China recently. The applicable sphere of this initiative should be analyzed. Based on the data ...
dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government Research Pages 932–940 https://doi.org/10.1145/3657054.3657067
https://dl.acm.org/doi/pdf/10.1145/3657054.3657067
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2
Scaling Machine Learning with a Ring-based Distributed Framework
https://dl.acm.org/doi/10.1145/3638584.3638667
Kankan Zhao; Youfang Leng; Hui Zhang
In centralized distributed machine learning systems, communication overhead between servers and computing nodes has always been an important issue affecting the training efficiency. Although existing research has proposed various measures to reduce ...
CSAI '23: Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence Pages 23–32 https://doi.org/10.1145/3638584.3638667
null
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3
Feature Analysis and Impact Mechanism of Policy Diffusion from a Policy Citation Function Perspective
https://dl.acm.org/doi/10.1145/3657054.3660569
Leilei Liu; Zhichao Ba; Yikun Xia; Ke Dong; Jiqiang Qu
Understanding the characteristics and impact mechanisms of policy diffusion is crucial for facilitating policy dissemination, enhancing existing policy systems, and optimizing subsequent policy design. As an observable, recordable, and traceable imprint ...
dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government Research Pages 960–972 https://doi.org/10.1145/3657054.3660569
null
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4
A Method of Determining the Cost Weight with High-Dimensional Fitting
https://dl.acm.org/doi/10.1145/3127404.3127452
Lei Yang; Huijuan Lu; Ke Yan; Minchao Ye
Cost-sensitive algorithms are widely used to solve unbalanced classification problems. However, cost-weight parameters are usually set according to experiences. The optimal parameters remain unsure, which affect the final classification performance. ...
ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing Pages 233–236 https://doi.org/10.1145/3127404.3127452
null
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5
Semantic Navigation of Keyword Search Based on Knowledge Graph
https://dl.acm.org/doi/10.1145/3127404.3127437
Bo Peng; Guohua Chen; Yong Tang; Saimei Sun; Yuxia Sun
Aiming at the problem that the semantic navigation of keyword search can not meet the potential navigation requirements of users, this paper proposes two kinds of semantic navigation schemes1. First, we use TFIDF to extract core keywords and construct ...
ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing Pages 189–192 https://doi.org/10.1145/3127404.3127437
null
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6
A Clustering Algorithm based on Internal Constrained Multi-view K-means
https://dl.acm.org/doi/10.1145/3127404.3127414
Yihua Zhou; Chenhui Ji; Changyou Zhang
As more and more multi-view data are collected, how to apply the traditional clustering algorithm to multi-view data has been studied widely. Among them, the K-means clustering algorithm is extended because of its efficiency on large-scale datasets. ...
ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing Pages 137–144 https://doi.org/10.1145/3127404.3127414
null
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7
Growing related words from seed via user behaviors
https://dl.acm.org/doi/10.5555/1858913.1858922
Yabin Zheng; Zhiyuan Liu; Lixing Xie
Motivated by Google Sets, we study the problem of growing related words from a single seed word by leveraging user behaviors hiding in user records of Chinese input method. Our proposed method is motivated by the observation that the more frequently two ...
ACLstudent '10: Proceedings of the ACL 2010 Student Research Workshop Pages 49–54
https://dl.acm.org/doi/pdf/10.5555/1858913.1858922
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8
Coordinated research on digital economic policies in the Yangtze River Delta region of China
https://dl.acm.org/doi/10.1145/3657054.3657176
Lin Zhu; Yumeng Cao
摘要:数字经济已成为我国经济增量提质、转型发展的重要动能。党和国家明确提出了数字经济发展的战略规划, 各级地方政府也需要制定符合数字经济特点的政策, 以适应数字经济发展的新变化和新需求。数字经济政策协同在充分发挥数字经济潜力、实现经济增长优化、缩小地区发展差距以及克服传统监管障碍等方面至关重要。本文基于来自中央层面和长三角地区的共251份数字经济政策样本, 构建了政策评价指标体系并对数字经济政策进行量化评价, 再利用所得的综合评价指数计算耦合协调度, 从而测算数字经济政策的央地协同和区域协同水平。...
dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government Research Pages 995–999 https://doi.org/10.1145/3657054.3657176
null
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9
Online Algorithms of Task Allocation in Spatial Crowdsourcing
https://dl.acm.org/doi/10.1145/3127404.3127443
Yong Sun; Jun Wang; Wenan Tan
Recently, spatial collaborations1 and crowdsourcing has emerged as a novel typical pattern for applying to a range of problems. A key problem of spatial collaboration is to allocate suitable workers to nearby tasks in a real-time online way. Traditional ...
ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing Pages 205–208 https://doi.org/10.1145/3127404.3127443
null
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10
Multi-modal Sentiment Feature Learning Based on Sentiment Signal
https://dl.acm.org/doi/10.1145/3127404.3127410
Dazhen Lin; Lingxiao Li; Donglin Cao; Shaozi Li
The multi-modal characteristic of social media content (e.g. texts and images) significantly challenges traditional text-based sentiment analysis approaches, multi-modal sentiment analysis gets great theoretical value for understanding and analysis of ...
ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing Pages 33–40 https://doi.org/10.1145/3127404.3127410
null
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11
dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government Research
https://dl.acm.org/doi/proceedings/10.1145/3657054
Hsin-Chung Liao; David Duenas Cid; Marie Anne Macadar; Flavia Bernardini
null
null
null
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12
SPDNA
https://dl.acm.org/doi/10.1145/3127404.3127409
Chengzhou Fu; Yong Tang; Weiquan Zeng; Jianguo Li
In academic social networks, each user's personal attributes and behaviour preferences form a unique social gene. The recommendation of friends in academic social networks is to use scholars' social genes to recommend scholars who have similar social ...
ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing Pages 56–63 https://doi.org/10.1145/3127404.3127409
null
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13
A Study on Semantic Understanding of Large Language Models from the Perspective of Ambiguity Resolution
https://dl.acm.org/doi/10.1145/3632971.3632973
Shuguang Yang; Feipeng Chen; Yiming Yang; Zude Zhu
Generative large language models (LLMs) have demonstrated outstanding performance in language understanding and generation tasks. Whether current LLMs can truly understand meaning or not is an open question. Semantic disambiguation is an important ...
JCRAI '23: Proceedings of the 2023 International Joint Conference on Robotics and Artificial Intelligence Pages 165–170 https://doi.org/10.1145/3632971.3632973
null
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