Evaluation of a Hybrid Approach of Personalized Web Information Retrieval using the FIRE Data Set

被引：0

作者：

Mittal, Namita ^{[1
]}

Nayak, Richi ^{[2
]}

Govil, M. C. ^{[1
]}

Jain, K. C. ^{[1
]}

机构：

[1] MNIT Jaipur, Jaipur, Rajasthan, India

[2] QUT Brisbane, Brisbane, Qld, Australia

来源：

PROCEEDINGS OF THE FIRST AMRITA ACM-W CELEBRATION OF WOMEN IN COMPUTING IN INDIA (A2WIC) | 2010年

关键词：

Personalization; User Profile; Collaborative filtering; SEARCH; CONTEXT;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents a hybrid personalized Web Information Retrieval approach using ontology, user profile and collaborative filtering for getting recommendation of similar users, and evaluates in on the FIRE 2010 English language data set. Empirical analysis reveals that Precision, Recall and F-Score of most of the queries for many users are improved with using the presented method with a search engine

引用

页数：6

共 16 条

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