Social Network Collaborative Filtering Research Meeting

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Babar Tareen 2009. 02. 27. Social Network Collaborative Filtering Research Meeting. Intrestmap [2005]. Uses Social Network Profile details like Hobbies and Passions for Content Recommendation Book reading, adventure, pets, etc Uses NLP to map content to ontology of concepts - PowerPoint PPT Presentation

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Social Network Collaborative Filtering Research MeetingSocial Network Collaborative FilteringResearch MeetingBabar Tareen2009. 02. 27.Center for E-Business TechnologySeoul National UniversitySeoul, KoreaCopyright 2008 by CEBT1Intrestmap [2005]Uses Social Network Profile details like Hobbies and Passions for Content RecommendationBook reading, adventure, pets, etcUses NLP to map content to ontology of conceptsBuild a Interest map by using Point Mutual Information between different user profiles2Copyright 2008 by CEBTSemantic Social Collaborative Filtering [2008]Focuses on Information RetrievalUser managed collectionsConceptually similar to online bookmarksEvery collection has quality levelUser expertise on a given topic can be computed with PageRank algorithmQuality of a collection corresponds to the expertise level of the ownerAccess Control3Copyright 2008 by CEBTSocialy Collaborative Filtering [Cisco White Paper 2008]Based on Socially Relevant Gestures (SRG)4Copyright 2008 by CEBTSocial Network Collaborative Filtering [2007]Uses Social network as similar user set for Collaborative FilteringOnly use people from Social network as recommendersUsed Amazon.com data about purchases and users friendsDrawbacks: For very specific areas of interest, only using social network users might not be very goodEx: Buying a book about OntologiesWe can try to give more weight to users who are in Social Network but use large number of user for CF5Copyright 2008 by CEBTReferencesH. Liu and P. Maes, Interestmap: Harvesting social network profiles for recommendations, In Proceedings of the Beyond Personalization 2005 Workshop, 2005. Sebastian Ryszard Kruk and Stefan Decker, Semantic Social Collaborative Filtering with FOAFRealm, Apr. 2008. R. Zheng, F. Provost, and A. Ghose, Social Network Collaborative Filtering, 2007. Socially Collaborative Filtering: Give Users Relevant Content, 2008. 6Copyright 2008 by CEBT

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