Alleviating the cold-start problem of recommender systems using a new hybrid approach
- 1 December 2010
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Recommender systems have become significant tools in electronic commerce, proposing effectively those items that best meet the preferences of users. A variety of techniques have been proposed for the recommender systems such as, collaborative filtering and content-based filtering. This study proposes a new hybrid recommender system that focuses on improving the performance under the “new user cold-start” condition where existence of users with no ratings or with only a small number of ratings is probable. In this method, the optimistic exponential type of ordered weighted averaging (OWA) operator is applied to fuse the output of five recommender system strategies. Experiments using MovieLens dataset show the superiority of the proposed hybrid approach in the cold-start conditions.Keywords
This publication has 15 references indexed in Scilit:
- Electronic promotion to new customers using mkNN learningInformation Sciences, 2009
- Fuzzy-genetic approach to recommender systems based on a novel hybrid user modelExpert Systems with Applications, 2008
- A new similarity measure for collaborative filtering to alleviate the new user cold-starting problemInformation Sciences, 2008
- Aggregation of web search engines based on users’ preferences in WebFusionKnowledge-Based Systems, 2006
- CinemaScreen Recommender Agent: Combining Collaborative and Content-Based FilteringIEEE Intelligent Systems, 2006
- Classification-based collaborative filtering using market basket dataExpert Systems with Applications, 2005
- Combining Demographic Data with Collaborative Filtering for Automatic Music RecommendationLecture Notes in Computer Science, 2005
- Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filteringACM Transactions on Information Systems, 2004
- On the issue of obtaining OWA operator weightsFuzzy Sets and Systems, 1998
- On ordered weighted averaging aggregation operators in multicriteria decisionmakingIEEE Transactions on Systems, Man, and Cybernetics, 1988