A Modified Collaborative Filtering Approach for Collaborating Community
Web search is generally treated as a solitary service that operates in isolation servicing the requests of individual searchers. But in real world, searchers often collaborate to achieve their information need in a faster and efficient way. The paper attempts to harness the potential inherent in communities of like-minded searchers overcoming the limitations of conventional personalization methods. The community members can share their search experiences for the benefit of others while still maintaining their anonymity. The community based personalization is achieved by adding the benefits of reliability, efficiency and security to web search.
Keywordscommunity personalization collaborative filtering collaborative web search stemming stopwords lexical database
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