Date of Publication :7th September 2015

Abstract: This proposed research considers- the problem of delivering meaningful recommendations to groups so that each group member has a similar degree of satisfaction. Useful recommendations can only be generated if recommender system understands the user preferences well. Generating fair recommendations to group is difficult because group members have individual preferences which may not compulsorily match with other members of a group. Focus of the proposal is on understanding individual preferences of members and to generate an ordered list of items or events by neutralizing user’s satisfaction. In this proposal, two different strategies are introduced to improve the group satisfaction rather than simply averaging the preferences of group members so that each member feels satisfied.

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