Contextaware recommendation using rough set model

Authors: Zhengxing Huang Xudong Lu Huilong Duan

Publish Date: 2010/11/03

Volume: 35, Issue: 1, Pages: 85-99

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Abstract

Context has been identified as an important factor in recommender systems Lots of researches have been done for contextaware recommendation However in current approaches the weights of contextual information are the same which limits the accuracy of the results This paper aims to propose a contextaware recommender system by extracting measuring and incorporating significant contextual information in recommendation The approach is based on rough set theory and collaborative filtering It involves a threesteps process At first significant attributes to represent contextual information are extracted and measured to identify recommended items based on rough set theory Then the users’ similarity is measured in a target context consideration Furthermore collaborative filtering is adopted to recommend appropriate items The evaluation experiments show that the proposed approach is helpful to improve the recommendation quality

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