Ontology-Based Advertisement Recommendation in Social Networks

被引：2

作者：

Garcia-Sanchez, Francisco ^{[1
]}

Antonio Garcia-Diaz, Jose ^{[1
]}

Miguel Gomez-Berbis, Juan ^{[2
]}

Valencia-Garcia, Rafael ^{[1
]}

机构：

[1] Univ Murcia, Fac Informat, Dept Informat & Sistemas, Murcia, Spain

[2] Univ Carlos III Madrid, Dept Informat, Leganes, Spain

来源：

DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE | 2019年 / 800卷

关键词：

Ontology; Recommender system; Advertisement; Social network; USER-INTEREST; SYSTEMS;

D O I：

10.1007/978-3-319-94649-8_5

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 advent of the Web 2.0 era, a new source of a vast amount of data about users become available. Advertisement recommendation systems are among the applications that can benefit from these data since they can help gain a better understanding of the users' interests and preferences. However, new challenges emerge from the need to deal with heterogeneous data from disparate sources. Semantic technologies, in general, and ontologies, in particular, have proved effective for knowledge management and data integration. In this work, an ontology-based advertisement recommendation system that leverages the data produced by users in social networking sites is proposed.

引用

页码：36 / 44

页数：9

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