Analyzing User's Comments to Peer Recommendations in Virtual Communities

被引：0

作者：

Aciar, Silvana ^{[1
]}

Aciar, Gabriela ^{[1
]}

机构：

[1] Univ Nacl San Juan, San Juan, Argentina

来源：

COMPUTATIONAL INTELLIGENCE IN DATA MINING, VOL 1 | 2015年 / 31卷

关键词：

Social networks; Text mining; Recommender systems; SOCIAL NETWORKS; SYSTEMS;

D O I：

10.1007/978-81-322-2205-7_54

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Social networks and virtual communities has become a popular communication tool among Internet users. Millions of users share publications about different aspects: educational, personal, cultural, etc. Therefore these social sites are rich sources of information about who can help us solve any problems. In this paper, we focus on using the written comments to recommend a person who can answer a request. An automatic analysis of information using text mining techniques was proposed to select the most suitable users. Experimental evaluations show that the proposed techniques are efficient and perform better than a standard search.

引用

页码：583 / 592

页数：10

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