Recommender systems and the social web

Amit Tiroshi, Tsvi Kuflik, Judy Kay, Bob Kummerfeld

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

In the past, classic recommender systems relied solely on the user models they were able to construct by themselves and suffered from the "cold start" problem. Recent decade advances, among them internet connectivity and data sharing, now enable them to bootstrap their user models from external sources such as user modeling servers or other recommender systems. However, this approach has only been demonstrated by research prototypes. Recent developments have brought a new source for bootstrapping recommender systems: social web services. The variety of social web services, each with its unique user model characteristics, could aid bootstrapping recommender systems in different ways. In this paper we propose a mapping of how each of the classical user modeling approaches can benefit from nowadays active services' user models, and also supply an example of a possible application.

اللغة الأصليةإنجليزيّة أمريكيّة
عنوان منشور المضيفAdvances in User Modeling - UMAP 2011 Workshops, Revised Selected Papers
الصفحات60-70
عدد الصفحات11
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2012
الحدثUser Modeling, Adaptation and Personalization Conference, UMAP 2011 - Girona, أسبانيا
المدة: ١١ يوليو ٢٠١١١٥ يوليو ٢٠١١

سلسلة المنشورات

الاسمLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
مستوى الصوت7138 LNCS

!!Conference

!!ConferenceUser Modeling, Adaptation and Personalization Conference, UMAP 2011
الدولة/الإقليمأسبانيا
المدينةGirona
المدة١١/٠٧/١١١٥/٠٧/١١

All Science Journal Classification (ASJC) codes

  • !!Theoretical Computer Science
  • !!General Computer Science

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