Recommender systems and the social web

Amit Tiroshi, Tsvi Kuflik, Judy Kay, Bob Kummerfeld

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

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.

שפה מקוריתאנגלית אמריקאית
כותר פרסום המארחAdvances in User Modeling - UMAP 2011 Workshops, Revised Selected Papers
עמודים60-70
מספר עמודים11
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 2012
אירועUser Modeling, Adaptation and Personalization Conference, UMAP 2011 - Girona, ספרד
משך הזמן: 11 יולי 201115 יולי 2011

סדרות פרסומים

שםLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
כרך7138 LNCS

כנס

כנסUser Modeling, Adaptation and Personalization Conference, UMAP 2011
מדינה/אזורספרד
עירGirona
תקופה11/07/1115/07/11

ASJC Scopus subject areas

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