Enterprise Information retrieval using Collaborative Fusion and Active Feedback

Abstract

Enterprise information retrieval is quite challenging than web based information retrieval due to retrieval from heterogeneous distributed data sources and need for higher accuracy in retrieval [17]. Large corpus of data from heterogeneous information sources available as distributed systems make querying for most relevant and updated information in less number of trials. Similar users tend to prefer similar search results. Applying three dimensions of user similarity, user-document search history and document similarity, collaborative information fusion based retrieval is proposed in this work. The Fuzzy method for mapping document and search queries, to concept is proposed and using it the similarity between documents is modeled. Active feedback based search result revision is proposed to get highly relevant results in less number of trials.