The research of the personalization recommendation model based on the behavior of user's retrieval and browse

被引：0

作者：

Peng, Xueping ^{[1
]}

Niu, Zhendong ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China

来源：

PROCEEDING OF THE 2007 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS | 2007年

关键词：

D O I：

10.1109/WI-IATW.2007.65

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a personalization recommendation model to recommend potentially interesting resources to users based on the preference characteristics of users. This model consists of two algorithms: a building algorithm of user model and a recommending algorithm of resource. The first algorithm aims to build the user model, according to searched keywords and behaviors of users. Founded on the model, ordered resources are recommend to users by the second algorithm.

引用

页码：107 / 110

页数：4

共 8 条

[1] Exploring versus exploiting when learning user models for text recommendation [J].

Balabanovic, M .

USER MODELING AND USER-ADAPTED INTERACTION, 1998, 8 (1-2) :71-102

[2]

Basu C, 1998, FIFTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-98) AND TENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICAL INTELLIGENCE (IAAI-98) - PROCEEDINGS, P714

[3]

KITTAKA H, 1999, SOC INFO SCI, V40, P175

[4]

OARD DW, 1998, P AAAI WORKSH REC SY

[5]

Satoh M., 1996, NTT R & D, V45, P979

[6]

SONG LZ, 2005, RES DIGITAL LIB PERS

[7]

XU BW, 2003, SEARCH ENGINE INFORM

[8]

2000, P INT C AD HYP AD WE

← 1 →