Ido Guy
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Publications by Ido Guy (bibliography)
» 2009 «
Chen, Jilin, Geyer, Werner, Dugan, Casey, Muller, Michael J. and Guy, Ido (2009): Make new friends, but keep the old: recommending people on social networking sites. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 201-210. Available online
“This paper studies people recommendations designed to help users find known, offline contacts and discover new friends on social networking sites. We evaluated four recommender algorithms in an enterprise social networking site using a personalized survey of 500 users and a field study of 3,000 users. We found all algorithms effective in expanding users' friend lists. Algorithms based on social network information were able to produce better-received recommendations and find more known contacts for users, while algorithms using similarity of user-created content were stronger in discovering new friends. We also collected qualitative feedback from our survey users and draw several meaningful design implications.”
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Aizenbud-Reshef, Netta, Guy, Ido and Jacovi, Michal (2009): Collaborative feed reading in a community. In: GROUP09 - International Conference on Supporting Group Work 2009. pp. 277-280. Available online
“Feed readers have emerged as one of the salient applications that characterize Web 2.0. Lately, some of the available readers introduced social features, analogously to other Web 2.0 applications, such as recommendations and tagging. Yet, most of the readers lack collaborative features, such as the ability to share feeds in a community or divide the reading task among community members. In this paper we describe CoffeeReader, a web-based feed reader, which combines social and collaborative features, and is deployed in a small community within our company. CoffeeReader provides awareness of other users' feed lists and read status; it enables information sharing such as tags and recommendations; and aims to support coordination of filtering through feeds to locate important items. We compare these group collaboration features of CoffeeReader with emerging features in publicly available feed readers; present the outcomes of using CoffeeReader within our community; and discuss our findings and their implications on making feed readers more collaborative.”
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Guy, Ido, Ronen, Inbal and Wilcox, Eric (2009): Do you know?: recommending people to invite into your social network. In: Proceedings of the 2009 International Conference on Intelligent User Interfaces 2009. pp. 77-86. Available online
“In this paper we describe a novel UI and system for providing users with recommendations of people to invite into their explicit enterprise social network. The recommendations are based on aggregated information collected from various sources across the organization and are displayed in a widget, which is part of a popular enhanced employee directory. Recommended people are presented one by one, with detailed reasoning as for why they were recommended. Usage results are presented for a period of four months that indicate an extremely significant impact on the number of connections created in the system. Responses in the organization's blogging system, a survey with over 200 participants, and a set of interviews we conducted shed more light on the way the widget is used and implications of the design choices made.”
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» 2008 «
Guy, Ido, Jacovi, Michal, Shahar, Elad, Meshulam, Noga, Soroka, Vladimir and Farrell, Stephen (2008): Harvesting with SONAR: the value of aggregating social network information. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 1017-1026. Available online
“Web 2.0 gives people a substantial role in content and metadata creation. New interpersonal connections are formed and existing connections become evident through Web 2.0 services. This newly created social network (SN) spans across multiple services and aggregating it could bring great value. In this work we present SONAR, an API for gathering and sharing SN information. We give a detailed description of SONAR, demonstrate its potential value through user scenarios, and show results from experiments we conducted with a SONAR-based social networking application. These suggest that aggregating SN information across diverse data sources enriches the SN picture and makes it more complete and useful for the end user.”
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Guy, Ido, Jacovi, Michal, Meshulam, Noga, Ronen, Inbal and Shahar, Elad (2008): Public vs. private: comparing public social network information with email. In: Proceedings of ACM CSCW08 Conference on Computer-Supported Cooperative Work 2008. pp. 393-402. Available online
“The goal of this research is to facilitate the design of systems which will mine and use sociocentric social networks without infringing privacy. We describe an extensive experiment we conducted within our organization comparing social network information gathered from various intranet public sources with social network information gathered from a private source -- the organizational email system. We also report the conclusions of a series of interviews we conducted based on our experiment. The results shed light on the richness of public social network information, its characteristics, and added value over email network information.”
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Mar 22nd, 2010
Changes to this page (author)
23 Feb 2010: Enabled abstracts to be shown on Ido Guy's author page.02 Jun 2009: Author was edited 02 Jun 2009: Author was edited
09 May 2009: Author was edited
07 Apr 2009: Author was edited
12 May 2008: Author was added to the bibliography
