GPS-Based Location Recommendation Using a Belief Network Model

被引：1

作者：

Zhu, Kunlei ^{[1
]}

Huang, Jiajin ^{[1
]}

Zhong, Ning ^{[1
,2
]}

机构：

[1] Beijing Univ Technol, Int WIC Inst, Beijing 100024, Peoples R China

[2] Maebashi Inst Technol, Dept Life Sci & Informat, Maebashi, Gunma 3710816, Japan

来源：

KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, KSEM 2015 | 2015年 / 9403卷

关键词：

Belief network; Location recommendation; Expert information;

D O I：

10.1007/978-3-319-25159-2_66

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the increasing popularity of location-based services, location recommendation is one of important applications. In this paper, according to a user's preference, we recommend locations to a user by extending an information retrieval model, namely, belief network model. We regard the user's preference as a query, a location as a document, categories as index terms. And then, we use the belief network model to recommend locations to a user by adding expert information. Experimental results on a real world data set show that recommendation effectiveness can be improved.

引用

页码：721 / 731

页数：11

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