توضیحات
Information overload is a phenomenon that has invaded every field in our lives, from work activities (decide which books to order, which emails to read first) to leisure time ones (which movies to see, which restaurants to go). One way to ease the problem is through the use of recommender systems [1], systems that try to match users and items/entities that might interest them. There are several classic approaches for generating recommendations: collaborative filtering [2], content-based [3], case-based [4] and hybrid methods [5]. Most recommender systems require a user model to base their recommendations on and every method described earlier requires a different type of user model. Until a decade ago each system had its proprietary user model, however with the bloom of the internet and connectivity, user models sharing and bootstrapping from online sources are becoming a real possibility. One possible source for bootstrapping user models is the freely available personal information from the social web. Social web services are online services that let their users connect, communicate, share and collaborate with others. Users can link themselves to groups, individuals and causes, they can share all types of content (written, visual, audio) and they communicate both live and in a delayed manner. Each social web service has its unique characteristics which are also reflected in its user model, some let users define their interests explicitly as a set of features (Facebook1, Linkedin2) others do so implicitly and in plain text (Twitter3, Blogs). Facebook only allows a bidirectional connection among users (if user A is connected to B then B is also connected to A) while Twitter users can follow without being followed (user A is linked to B, B is not linked to A). As a result, the social web contains vast amounts of personal information about users that is free and publicly available or can be made available by the users. This information may serve as a source for information used by online recommender systems to bootstrap their user models and to solve the “cold start” problem. In this paper we survey existing social web services and show how the different recommendation approaches (or user model representations) can each benefit from the social web‟s available user models, and present an example in the form of a possible application.
by:Amit Tiroshi, Tsvi Kuflik, Judy Kay and Bob Kummerfeld
File Information :English Language/10 Page/Size:352 kb
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کاری از:Amit Tiroshi, Tsvi Kuflik, Judy Kay and Bob Kummerfeld
اطلاعات فایل :زبان انگلیسی/10 صفحه/حجم :352 kb
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