The mid-90s witnessed evolution of Recommender Systems (RS) as the tools and techniques that help filtering out the most relevant set of information from the large set of information available. Over the last decade RS [1] have procured wide-spread reception and has attracted an increased public engrossment, thereby, demolishing the terra firma for new sales opportunities in e-commerce [2]. For example, Amazon.com, a popular e-commerce site has succeeded in employing a substantial range of distinct types of recommender systems. Information retrieval and filtering are the most featured fields. Information Retrieval (IR) emanated as a research field in 1950s and is agitated for automatically matching a user’s information need against a collection of information.
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