A Framework Supporting Collaborative Filtering for Internet Information

Sukumal Imudom and B. Clifford Neuman

Over the past few years recommender systems have emerged to assist users in finding pertinent information on the Internet. These systems have the limitations on annotation semantics, and recommendation credibility, and a lack a general business model. We propose a framework with three building blocks: annotation semantic categories, determination of the expertise of the annotators, and a charging mechanism and plan to furthur integrate the framework with electronic commerce.

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