ליאור רוקח

אקדמי בכיר

Recommender system from personal social networks

David Ben-Shimon, Alexander Tsikinovsky, Lior Rokach,Amnon Meisles,Guy Shani, Lihi Naamani

Recommender systems are found in many modern web sites for applications such as recommending products to customers. In this paper we propose a new method for recommender system that employs the users' social network in order to provide better recommendation for media items such as movies or TV shows. As part of this paper we develop a new paradigm for incorporating the feedback of the user's friends. A field study that was conducted on real subjects indicates the strengths and the weaknesses of the proposed method compared to other simple and classic methods. The system is envisioned to function as a service for recommending personalized media (audio, video, print) on mobile phones, online media portals, sling boxes, etc. It is currently under development within Deutsche Telekom Laboratories - Innovations of Integrated Communication projects.

שפת פרסום אנגלית
דפים 47-55
כתב עת Advances in Soft Computing
כרך 43
סטטוס פרסום פורסם - 01.12.2007

ASJC Scopus subject areas

Computer Science (miscellaneous)
Computational Mechanics
Computer Science Applications
גישה למסמך
10.1007/978-3-540-72575-6_8
קבצים וקישורים אחרים
Link to publication in Scopus