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  Browse All Reviews > Information Systems (H) > Models And Principles (H.1) > User/Machine Systems (H.1.2) > Human Information Processing (H.1.2...)  
  1-10 of 223 Reviews about "Human Information Processing (H.1.2...)": Date Reviewed
  When simpler data does not imply less information: a study of user profiling scenarios with constrained view of mobile HTTP(S) traffic
Park S., Matic A., Garg K., Oliver N.  ACM Transactions on the Web 12(2): 1-23, 2018. Type: Article

This well-written paper reports on a study revealing the power of limited datasets to characterize mobile device users. This excellent work deserves attention both for the results and for the general explanations of technologies and use of data, a...

Aug 29 2018
  AutoMan: a platform for integrating human-based and digital computation
Barowy D., Curtsinger C., Berger E., McGregor A.  Communications of the ACM 59(6): 102-109, 2016. Type: Article

Programming digital computers to perform complicated concurrent tasks usually executed by several human beings is important in business intelligence decisions, but not easy. How should multifaceted or interconnected tasks be automated on computers...

Sep 12 2016
  User-centric adaptation analysis of multi-tenant services
García-Galán J., Pasquale L., Trinidad P., Ruiz-Cortés A.  ACM Transactions on Autonomous and Adaptive Systems 10(4): 1-26, 2016. Type: Article

A method to arrive at configuration consensus in a multitenant shared-service cloud environment is presented in this paper. Section 1 discusses the multitenant cloud. The authors are interested in such systems where each member of the user communi...

Apr 21 2016
  Engagement periodicity in search engine usage: analysis and its application to search quality evaluation
Drutsa A., Gusev G., Serdyukov P.  WSDM 2015 (Proceedings of the 8th ACM International Conference on Web Search and Data Mining, Shanghai, China,  Feb 2-6, 2015) 27-36, 2015. Type: Proceedings

In the recent cyberspace environment, the intensive and extensive use of search engines is commonplace. Tracking usage patterns of users and then aligning with the implicit user requirements is an essential competition factor among search engine m...

Mar 17 2015
  Trust prediction via belief propagation
Zhang R., Mao Y.  ACM Transactions on Information Systems 32(3): 1-27, 2014. Type: Article

Assessing trust relationships in social networks is vital for a lot of applications. However, the problem is challenging as trust relationships are often not directly observable. The goal of this paper is to predict trust relationships not yet obs...

Nov 11 2014
  Handbook of human computation
Michelucci P.,  Springer Publishing Company, Incorporated, New York, NY, 2013. 1000 pp. Type: Book (978-1-461488-05-7)

The editor-in-chief, Pietro Michelucci, and nine other section editors have compiled research surveys (and written several of them) on human computation (HC), arguably definable as computers outsourcing to humans....

Sep 17 2014
  An analysis of human factors and label accuracy in crowdsourcing relevance judgments
Kazai G., Kamps J., Milic-Frayling N.  Information Retrieval 16(2): 138-178, 2013. Type: Article

Labeling is a complex task. This interesting paper investigates the use of crowdsourcing to create labeled data, which involves relevance judgments that are known to be subjective. The authors use a series of experiments using Amazon’s Mecha...

Aug 20 2013
  Knowledge service engineering handbook
Kantola J., Karwowski W.,  CRC Press, Inc., Boca Raton, FL, 2012. 599 pp. Type: Book (978-1-439852-94-1)

What is meant by knowledge service engineering? How is it different from knowledge management, service engineering, and service production? How does one go about connecting all these concepts “to produce high-performance joint knowledge serv...

Jan 30 2013
  Contextual tag inference
Mandel M., Pascanu R., Eck D., Bengio Y., Aiello L., Schifanella R., Menczer F.  ACM Transactions on Multimedia Computing, Communications, and Applications 7S(1): 1-18, 2011. Type: Article

Tagging digital music, video, images, and other media is typically frustrating. Most people attempt to either manually tag digital music files or use software to do this. At the end of the day, reliable and comprehensive manual tagging is time con...

Jan 30 2012
  Tags vs. shelves: from social tagging to social classification
Zubiaga A., Körner C., Strohmaier M.  HT 2011 (Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia, Eindhoven, the Netherlands,  Jun 6-9, 2011) 93-102, 2011. Type: Proceedings

In this paper, the authors analyze how tags utilized by users with different motivations influence social classification effectiveness. With a very detailed description of the social library book tagging systems example, the authors point out that...

Aug 17 2011
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