A personalised search approach for web service recommendation

被引：2

作者：

Hu, Rong ^{[1
]}

Dou, Wanchun ^{[1
]}

Liu, Jianxun ^{[2
]}

机构：

[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Jiangsu, Peoples R China

[2] Hunan Univ Sci & Technol, Key Lab Knowledge Proc & Networked Mfg, Xiangtan, Hunan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING | 2013年 / 13卷 / 02期

关键词：

personalised search; service recommendation; service ranking; user interest; TF-IDF; WSDL; INFORMATION; ALGORITHM; STORAGE;

D O I：

10.1504/IJAHUC.2013.054173

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is a challenge to recommend services according to users' interests when search systems return plenty of keyword-like services. We propose a personalised search approach for web service recommendation. First, interests are extracted from users' records. Second, interest-similar users are selected using the criterion of cosine distance. Third, services are ranked in decreasing order based on the recommendation from interest-similar users. At the end of this paper, we conduct three groups' experiments to verify the effect of this approach.

引用

页码：83 / 95

页数：13

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