Thu, 24 Jul 2008 23:43:34 BST CiteULike: amirmz's library [48 articles] http://www.citeulike.org/user/amirmz CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/amirmz/article/2691106 <i>Trust Management (2006), pp. 221-235.</i><br /><br />In this paper we present the design, implementation, and evaluation of Jiminy: a framework for explicitly rewarding users who participate in reputation management systems by submitting ratings. To defend against participants who submit random or malicious ratings in order to accumulate rewards, Jiminy facilitates a probabilistic mechanism to detect dishonesty and halt rewards accordingly. Jiminy’s reward model and honesty detection algorithm are presented and its cluster-based implementation is described. The proposed framework is evaluated using a large sample of real-world user ratings in order to demonstrate its effectiveness. Jiminy’s performance and scalability are analysed through experimental evaluation. The system is shown to scale linearly with the on-demand addition of slave machines to the Jiminy cluster, allowing it to successfully process large problem spaces. Jiminy: A Scalable Incentive-Based Architecture for Improving Rating Quality Evangelos Kotsovinos Petros Zerfos Nischal Piratla Niall Cameron Sachin Agarwal doi:10.1007/11755593_17 Trust Management (2006), pp. 221-235. 2008-04-19T19:00:36-00:00 2006 Trust Management 221 235 behavioral-theories lecture-14 http://www.citeulike.org/user/amirmz/article/1423843 <i>Personal and Ubiquitous Computing, Vol. 11, No. 4. (April 2007), pp. 251-263.</i> Recognizing context for annotating a live life recording Kern Nicky Schiele Bernt Schmidt Albrecht doi:10.1007/s00779-006-0086-3 Personal and Ubiquitous Computing, Vol. 11, No. 4. (April 2007), pp. 251-263. 2007-06-30T00:01:43-00:00 2007 Personal and Ubiquitous Computing 1617-4909 11 4 251 263 Springer lecture-14 life-logging http://www.citeulike.org/user/amirmz/article/2426113 <i>(2007), pp. 81-90.</i> Do life-logging technologies support memory for the past?: an experimental study using sensecam Abigail Sellen Andrew Fogg Mike Aitken Steve Hodges Carsten Rother Ken Wood doi:10.1145/1240624.1240636 (2007), pp. 81-90. 2008-02-25T17:31:01-00:00 2007 81 90 ACM lecture-14 life-logging http://www.citeulike.org/user/amirmz/article/2664624 <i>Commun. ACM, Vol. 45, No. 4. (April 2002), pp. 60-63.</i> The future of e-learning communities Amy Bruckman doi:10.1145/505248.505274 Commun. ACM, Vol. 45, No. 4. (April 2002), pp. 60-63. 2008-04-13T21:50:46-00:00 2002 Commun. ACM 0001-0782 45 4 60 63 ACM lecture-13 social-education http://www.citeulike.org/user/amirmz/article/883862 <i>European Journal of Open and Distance Learning (EURODL) (2006)</i> Social software: E-learning beyond learning management systems Christian Dalsgaard European Journal of Open and Distance Learning (EURODL) (2006) 2006-10-04T18:47:48-00:00 2006 European Journal of Open and Distance Learning (EURODL) lecture-13 social-education http://www.citeulike.org/user/amirmz/article/2664591 <i>International Journal on E-Learning, Vol. 1, No. 2. (2002), pp. 34-45.</i><br /><br />Social presence is a critical social factor to be examined in distance education. The existing instrument, developed for non-computer-mediated communication, is unable to measure social presence in an online learning environment. Several studies have investigated social presence but an instrument appropriate for computer-mediated communication must be developed before cogent studies can be conducted. An analysis of the studies on social presence is accomplished leading to the development and validation of an instrument to measure social presence in the computer-mediated communication environment. This instrument was theoretically grounded in the dimensions derived from an extensive review of the literature and thus reflects a consensus of the perceptions of online social presence. The results indicate that social presence contains three dimensions, social context, online communication, and interactivity and, privacy. The Measurement of Social Presence in an Online Learning Environment Chih Tu International Journal on E-Learning, Vol. 1, No. 2. (2002), pp. 34-45. 2008-04-13T21:31:19-00:00 2002 International Journal on E-Learning 1537-2456 1 2 34 45 AACE lecture-13 social-education http://www.citeulike.org/user/amirmz/article/2621226 <i>(2007), pp. 233-245.</i> SmokeScreen: flexible privacy controls for presence-sharing Landon Cox Angela Dalton Varun Marupadi doi:10.1145/1247660.1247688 (2007), pp. 233-245. 2008-04-01T23:31:41-00:00 2007 233 245 ACM lecture-12 presence-sharing privacy http://www.citeulike.org/user/amirmz/article/2621210 <i>Commun. ACM, Vol. 48, No. 4. (April 2005), pp. 101-106.</i> Privacy in e-commerce: stated preferences vs. actual behavior Bettina Berendt Oliver Günther Sarah Spiekermann doi:10.1145/1053291.1053295 Commun. ACM, Vol. 48, No. 4. (April 2005), pp. 101-106. 2008-04-01T23:21:39-00:00 2005 Commun. ACM 0001-0782 48 4 101 106 ACM e-commerce lecture-12 privacy http://www.citeulike.org/user/amirmz/article/2621203 <i>Commun. ACM, Vol. 50, No. 9. (September 2007), pp. 103-108.</i> What's wrong with online privacy policies? Irene Pollach doi:10.1145/1284621.1284627 Commun. ACM, Vol. 50, No. 9. (September 2007), pp. 103-108. 2008-04-01T23:15:40-00:00 2007 Commun. ACM 0001-0782 50 9 103 108 ACM lecture-12 policy privacy http://www.citeulike.org/user/amirmz/article/156190 <i>Artificial Intelligence Review, Vol. 24, No. 1. (September 2005), pp. 33-60.</i> Review on Computational Trust and Reputation Models Jordi Sabater Carles Sierra doi:10.1007/s10462-004-0041-5 Artificial Intelligence Review, Vol. 24, No. 1. (September 2005), pp. 33-60. 2005-04-08T22:15:01-00:00 2005 Artificial Intelligence Review 0269-2821 24 1 33 60 Kluwer Academic Publishers lecture-11 reputation trust http://www.citeulike.org/user/amirmz/article/684668 <i>Experimental Economics, Vol. 9, No. 2. (June 2006), pp. 79-101.</i> The value of reputation on eBay: A controlled experiment Resnick Paul Zeckhauser Richard Swanson John Lockwood Kate doi:10.1007/s10683-006-4309-2 Experimental Economics, Vol. 9, No. 2. (June 2006), pp. 79-101. 2006-06-05T20:26:57-00:00 2006 Experimental Economics 1386-4157 9 2 79 101 Springer ebay lecture-11 reputation http://www.citeulike.org/user/amirmz/article/970083 <i>ACM Trans. Inter. Tech., Vol. 6, No. 4. (November 2006), pp. 497-529.</i> Inferring binary trust relationships in Web-based social networks Jennifer Golbeck James Hendler doi:10.1145/1183463.1183470 ACM Trans. Inter. Tech., Vol. 6, No. 4. (November 2006), pp. 497-529. 2006-12-01T08:45:39-00:00 2006 ACM Trans. Inter. Tech. 1533-5399 6 4 497 529 ACM Press lecture-11 social-network trust http://www.citeulike.org/user/amirmz/article/2551816 <i>IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 5. (September 2006), pp. 677-684.</i><br /><br />Student Member-Nathalie Henry and Member-Jean-Daniel Fekete MatrixExplorer: a Dual-Representation System to Explore Social Networks doi:10.1109/TVCG.2006.160 IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 5. (September 2006), pp. 677-684. 2008-03-18T15:38:28-00:00 2006 IEEE Transactions on Visualization and Computer Graphics 1077-2626 12 5 677 684 IEEE Educational Activities Department lecture-10 social-network-visualization http://www.citeulike.org/user/amirmz/article/801419 <i>(2006), pp. 407-416.</i> Semantic analytics on social networks: experiences in addressing the problem of conflict of interest detection Boanerges Aleman-Meza Meenakshi Nagarajan Cartic Ramakrishnan Li Ding Pranam Kolari Amit Sheth Budak Arpinar Anupam Joshi Tim Finin doi:10.1145/1135777.1135838 (2006), pp. 407-416. 2006-08-14T21:53:41-00:00 2006 407 416 ACM Press lecture-10 social-network-analysis http://www.citeulike.org/user/amirmz/article/2227655 <i>(2007), pp. 835-844.</i> Analysis of topological characteristics of huge online social networking services Yong-Yeol Ahn Seungyeop Han Haewoon Kwak Sue Moon Hawoong Jeong doi:10.1145/1242572.1242685 (2007), pp. 835-844. 2008-01-13T23:18:21-00:00 2007 835 844 ACM lecture-10 social-network-analysis http://www.citeulike.org/user/amirmz/article/1281581 <i>Journal of the American Society for Information Science and Technology, Vol. 58, No. 7. (2007), pp. 1019-1031.</i><br /><br />Given a snapshot of a social network, can we infer which new interactions among its members are likely to occur in the near future? We formalize this question as the link-prediction problem, and we develop approaches to link prediction based on measures for analyzing the ?proximity? of nodes in a network. Experiments on large coauthorship networks suggest that information about future interactions can be extracted from network topology alone, and that fairly subtle measures for detecting node proximity can outperform more direct measures. The link-prediction problem for social networks David Liben-Nowell Jon Kleinberg doi:10.1002/asi.20591 Journal of the American Society for Information Science and Technology, Vol. 58, No. 7. (2007), pp. 1019-1031. 2007-05-07T07:41:06-00:00 2007 Journal of the American Society for Information Science and Technology 58 7 1019 1031 lecture-10 social-network-analysis http://www.citeulike.org/user/amirmz/article/2406045 <i>Semantic Multimedia (2006), pp. 56-70.</i><br /><br />As the number of resources on the web exceeds by far the number of documents one can track, it becomes increasingly difficult to remain up to date on ones own areas of interest. The problem becomes more severe with the increasing fraction of multimedia data, from which it is difficult to extract some conceptual description of their contents. One way to overcome this problem are social bookmark tools, which are rapidly emerging on the web. In such systems, users are setting up lightweight conceptual structures called folksonomies, and overcome thus the knowledge acquisition bottleneck. As more and more people participate in the effort, the use of a common vocabulary becomes more and more stable. We present an approach for discovering topic-specific trends within folksonomies. It is based on a differential adaptation of the PageRank algorithm to the triadic hypergraph structure of a folksonomy. The approach allows for any kind of data, as it does not rely on the internal structure of the documents. In particular, this allows to consider different data types in the same analysis step. We run experiments on a large-scale real-world snapshot of a social bookmarking system. Trend Detection in Folksonomies Andreas Hotho Robert Jäschke Christoph Schmitz Gerd Stumme doi:10.1007/11930334_5 Semantic Multimedia (2006), pp. 56-70. 2008-02-21T11:23:27-00:00 2006 Semantic Multimedia 56 70 folksonomy lecture-9 http://www.citeulike.org/user/amirmz/article/2538238 <i>Universal Access in Human-Computer Interaction. Ambient Interaction (2007), pp. 254-263.</i><br /><br />A growing interest is seen for designing intelligent environments that support personally meaningful, sociable and rich everyday experiences. In this paper we describe an intelligent, large screen display called Panorama that is aimed at supporting and enhancing social awareness within an academic work environment. Panorama is not intended to provide instrumental or other productivity related information. Rather, the goal of Panorama is to enhance social awareness by providing interpersonal and rich information related to co-workers and their everyday interactions in the department. A two-phase assessment of Panorama showed to promote curiosity and interest in exploring different activities in the environment. Engineering Social Awareness in Work Environments Dhaval Vyas Marek van de Watering Anton Eliëns Gerrit van der Veer doi:10.1007/978-3-540-73281-5_27 Universal Access in Human-Computer Interaction. Ambient Interaction (2007), pp. 254-263. 2008-03-15T23:35:37-00:00 2007 Universal Access in Human-Computer Interaction. Ambient Interaction 254 263 lecture-9 social-awareness http://www.citeulike.org/user/amirmz/article/2538229 <i>(1996), pp. 298-307.</i> Supporting social awareness @ work design and experience Konrad Tollmar Ovidiu Sandor Anna Schömer doi:10.1145/240080.240309 (1996), pp. 298-307. 2008-03-15T23:27:38-00:00 1996 298 307 ACM lecture-9 social-awareness http://www.citeulike.org/user/amirmz/article/2014045 <i>Computers in Human Behavior, Vol. In Press, Corrected Proof</i><br /><br />The Big Five personality inventory measures personality based on five key traits: neuroticism, extraversion, agreeableness, openness to experience, and conscientiousness [Costa, P. T., Jr., & McCrae, R. R. (1992). Normal personality assessment in clinical practice: The NEO Personality Inventory. Psychological Assessment 4, 5-13]. There is a growing body of evidence indicating that individual differences on the Big Five factors are associated with different types of Internet usage [Amichai-Hamburger, Y., & Ben-Artzi, E. (2003). Loneliness and Internet use. Computers in Human Behavior 19, 71-80; Hamburger, Y. A., & Ben-Artzi, E. (2000). Relationship between extraversion and neuroticism and the different uses of the Internet. Computers in Human Behavior 16, 441-449]. Two studies sought to extend this research to a relatively new online format for expression: blogging. Specifically, we examined whether the different Big Five traits predicted blogging. The results of two studies indicate that people who are high in openness to new experience and high in neuroticism are likely to be bloggers. Additionally, the neuroticism relationship was moderated by gender indicating that women who are high in neuroticism are more likely to be bloggers as compared to those low in neuroticism whereas there was no difference for men. These results indicate that personality factors impact the likelihood of being a blogger and have implications for understanding who blogs. Who blogs? Personality predictors of blogging Rosanna Guadagno Bradley Okdie Cassie Eno doi:10.1016/j.chb.2007.09.001 Computers in Human Behavior, Vol. In Press, Corrected Proof 2007-11-29T12:05:46-00:00 Computers in Human Behavior In Press, Corrected Proof blog lecture-8 http://www.citeulike.org/user/amirmz/article/4511 <i>Commun. ACM, Vol. 47, No. 12. (December 2004), pp. 41-46.</i> Why we blog Bonnie Nardi Diane Schiano Michelle Gumbrecht Luke Swartz doi:10.1145/1035134.1035163 Commun. ACM, Vol. 47, No. 12. (December 2004), pp. 41-46. 2004-12-22T16:49:35-00:00 2004 Commun. ACM 0001-0782 47 12 41 46 ACM Press blog lecture-8 http://www.citeulike.org/user/amirmz/article/1832608 <i>Commun. ACM, Vol. 48, No. 12. (December 2005), pp. 152-152.</i> Wikipedia risks Peter Denning Jim Horning David Parnas Lauren Weinstein doi:10.1145/1101779.1101804 Commun. ACM, Vol. 48, No. 12. (December 2005), pp. 152-152. 2007-10-28T17:28:02-00:00 2005 Commun. ACM 0001-0782 48 12 152 152 ACM lecture-8 wikipedia http://www.citeulike.org/user/amirmz/article/2420580 <i>Social Science Research Network Working Paper Series (5 November 2007)</i><br /><br />Keywords: Online sharing community, implicit community, IRC, voluntary contribution, music sharing To Share or Not to Share? - An Empirical Analysis on User Decisions in Online Sharing Communities XIA Mu YUN Huang DUAN Wenjing Andrew Whinston Social Science Research Network Working Paper Series (5 November 2007) 2008-02-24T07:00:04-00:00 2007 Social Science Research Network Working Paper Series lecture-7 sharing http://www.citeulike.org/user/amirmz/article/1294580 <i>(2007), pp. 1273-1274.</i> Exploring social dynamics in online media sharing Martin Halvey Mark Keane doi:10.1145/1242572.1242804 (2007), pp. 1273-1274. 2007-05-14T08:32:02-00:00 2007 1273 1274 ACM Press lecture-7 sharing http://www.citeulike.org/user/amirmz/article/2420565 <i>(2005), pp. 1853-1856.</i> The uses of personal networked digital imaging: an empirical study of cameraphone photos and sharing Nancy Van House Marc Davis Morgan Ames Megan Finn Vijay Viswanathan doi:10.1145/1056808.1057039 (2005), pp. 1853-1856. 2008-02-24T06:48:47-00:00 2005 1853 1856 ACM lecture-7 sharing http://www.citeulike.org/user/amirmz/article/1171585 <i>(2006), pp. 205-214.</i> Mash-o-matic Sudarshan Murthy David Maier Lois Delcambre doi:10.1145/1166160.1166214 (2006), pp. 205-214. 2007-03-18T15:10:52-00:00 2006 205 214 ACM Press lecture-6 mashup http://www.citeulike.org/user/amirmz/article/2392089 <i>SIGPLAN Not., Vol. 42, No. 9. (September 2007), pp. 223-234.</i> User-friendly functional programming for web mashups Rob Ennals David Gay doi:10.1145/1291220.1291187 SIGPLAN Not., Vol. 42, No. 9. (September 2007), pp. 223-234. 2008-02-18T03:28:51-00:00 2007 SIGPLAN Not. 0362-1340 42 9 223 234 ACM lecture-6 mashup http://www.citeulike.org/user/amirmz/article/1550730 <i>(2007), pp. 611-620.</i> Subspace: secure cross-domain communication for web mashups Collin Jackson Helen Wang doi:10.1145/1242572.1242655 (2007), pp. 611-620. 2007-08-10T00:00:11-00:00 2007 611 620 ACM Press lecture-6 mashup security http://www.citeulike.org/user/amirmz/article/2327457 <i>J. Comput. Small Coll., Vol. 23, No. 2. (December 2007), pp. 24-26.</i> Building your virtual CS department Clinton Jeffery J. Comput. Small Coll., Vol. 23, No. 2. (December 2007), pp. 24-26. 2008-02-03T22:17:01-00:00 2007 J. Comput. Small Coll. 1937-4771 23 2 24 26 Consortium for Computing Sciences in Colleges lecture-4 virtual-community http://www.citeulike.org/user/amirmz/article/561130 <i>Cultural Studies , Vol. 20, No. 2-3. (May 2006), pp. 184-210.</i> YOUR SECOND LIFE ? Herman Andrew Coombe J Rosemary Kaye Lewis doi:10.1080/09502380500495684 Cultural Studies , Vol. 20, No. 2-3. (May 2006), pp. 184-210. 2006-03-23T12:40:10-00:00 2006 Cultural Studies  0950-2386 20 2-3 184 210 Routledge, part of the Taylor & Francis Group lecture-4 virtual-community http://www.citeulike.org/user/amirmz/article/320273 <i>J. Educ. Resour. Comput., Vol. 3, No. 1. (March 2003), pp. 1-14.</i> WebCoM: a tool to use peer review to improve student interaction Elaine Silva Dilvan Moriera doi:10.1145/958795.958798 J. Educ. Resour. Comput., Vol. 3, No. 1. (March 2003), pp. 1-14. 2005-09-15T00:55:08-00:00 2003 J. Educ. Resour. Comput. 1531-4278 3 1 1 14 ACM Press lecture-4 peer-assessment http://www.citeulike.org/user/amirmz/article/1045988 <i>(2006), pp. 1026-1030.</i> Distributed collaborative filtering for peer-to-peer file sharing systems Jun Wang Johan Pouwelse Reginald Lagendijk Marcel Reinders doi:10.1145/1141277.1141522 (2006), pp. 1026-1030. 2007-01-17T09:58:36-00:00 2006 1026 1030 ACM Press collaborative-filtering lecture-3 http://www.citeulike.org/user/amirmz/article/1288839 <i>(2007), pp. 271-280.</i> Google news personalization: scalable online collaborative filtering Abhinandan Das Mayur Datar Ashutosh Garg Shyam Rajaram doi:10.1145/1242572.1242610 (2007), pp. 271-280. 2007-05-10T19:42:19-00:00 2007 271 280 ACM Press collaborative-filtering lecture-3 http://www.citeulike.org/user/amirmz/article/877 <i></i> Referral Web: Combining Social Networks and Collaborative Filtering Henry Kautz Bart Selman Mehul Shah 2004-11-22T00:17:30-00:00 collaborative-filtering lecture-3 social-netwrok http://www.citeulike.org/user/amirmz/article/2265690 <i>Advances in Information Retrieval (2007), pp. 525-532.</i><br /><br />The social Web emphasises the increased role of millions of users in the creation of a new type of online content, often expressed in the form of opinions or judgements. This has led to some novel approaches to information access that take advantage of user opinions and activities as a way to guide users as they browse or search for information. We describe a social search technique that harnesses the experiences of a network of searchers to generate result recommendations that can complement the search results that are returned by some standard Web search engine. Harnessing Trust in Social Search Peter Briggs Barry Smyth doi:10.1007/978-3-540-71496-5_47 Advances in Information Retrieval (2007), pp. 525-532. 2008-01-21T04:43:17-00:00 2007 Advances in Information Retrieval 525 532 lecture-2 social-search http://www.citeulike.org/user/amirmz/article/1086243 <i>(2007), pp. 52-61.</i> Collecting community wisdom: integrating social search & social navigation Jill Freyne Rosta Farzan Peter Brusilovsky Barry Smyth Maurice Coyle doi:10.1145/1216295.1216312 (2007), pp. 52-61. 2007-02-03T17:46:15-00:00 2007 52 61 ACM Press lecture-2 social-navigation social-search http://www.citeulike.org/user/amirmz/article/2265598 <i>Adaptive Hypermedia and Adaptive Web-Based Systems (2004), pp. 95-103.</i><br /><br />Social search is an approach to Web search that attempts to offer communities of like-minded individuals more targeted search services, based on the search behaviour of their peers, bringing together ideas from Web search, social networking and personalization. In this paper we describe the I-SPY architecture for social search and present the results of a recent live-user evaluation that highlight the potential benefits of our approach in a realistic search setting. An Experiment in Social Search Jill Freyne Barry Smyth Adaptive Hypermedia and Adaptive Web-Based Systems (2004), pp. 95-103. 2008-01-21T04:11:03-00:00 2004 Adaptive Hypermedia and Adaptive Web-Based Systems 95 103 lecture-2 social-search http://www.citeulike.org/user/amirmz/article/929743 <i>(2006), pp. 27-30.</i> Web 2.0: hypertext by any other name? David Millard Martin Ross doi:10.1145/1149941.1149947 (2006), pp. 27-30. 2006-11-05T16:34:49-00:00 2006 27 30 ACM Press hypertext lecture-1 web_20 http://www.citeulike.org/user/amirmz/article/1358099 <i>(2007), pp. 825-834.</i> The two cultures: mashing up web 2.0 and the semantic web Anupriya Ankolekar Markus Kr&\#246;tzsch Thanh Tran Denny Vrandecic doi:10.1145/1242572.1242684 (2007), pp. 825-834. 2007-06-02T19:05:28-00:00 2007 825 834 ACM Press lecture-1 semantic_web web_20 http://www.citeulike.org/user/amirmz/article/2173765 <i>Web Information Systems and Technologies (2007), pp. 3-7.</i><br /><br />“Web 2.0”is rapidly becoming a buzzword in the Web design and development communities. Despite this attention, a definition of the term and its scope are still evolving. To many observers “Web 2.0” appears to be a loose collection of recently developed concepts and technologies including Weblogs, Wikis, podcasts, Web feeds and other forms of collaborative publishing. Added to this mix are social software, Web APIs, Web standards, online Web services, AJAX, and more. There are common unifying goals in Web 2.0 which suggest that rather than being based on new technologies it instead represents a natural evolution of World Wide Web applications and services. As a result, the concepts incorporated in“Web 2.0”should be strongly considered in the development of Web Information Systems The Implications of Web 2.0 on Web Information Systems Bebo White doi:10.1007/978-3-540-74063-6_1 Web Information Systems and Technologies (2007), pp. 3-7. 2007-12-26T23:05:08-00:00 2007 Web Information Systems and Technologies 3 7 lecture-1 web_20