Recommender system from personal social networks

被引：34

作者：

Ben-Shimon, David ^{[1
]}

Tsikinovsky, Alexander ^{[1
]}

Rokach, Lior ^{[2
]}

Meisles, Amnon ^{[3
]}

Shani, Guy ^{[3
]}

Naamani, Lihi ^{[2
]}

机构：

[1] Ben Gurion Univ Negev, Deutsche Telekom Labs, IL-84105 Beer Sheva, Israel

[2] Ben Gurion Univ Negev, Dept Informat Syst Engn, IL-84105 Beer Sheva, Israel

[3] Ben Gurion Univ Negev, Dept Comp Sci, IL-84105 Beer Sheva, Israel

来源：

ADVANCES IN INTELLIGENT WEB MASTERING | 2007年 / 43卷

关键词：

D O I：

10.1007/978-3-540-72575-6_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 Telekorn Laboratories - Innovations of Integrated Communication projects.

引用

页码：47 / +

页数：2