Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
IEEE Transactions on Knowledge and Data Engineering
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
Information Sciences: an International Journal
A random-walk based scoring algorithm applied to recommender engines
WebKDD'06 Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis
Top-N recommendation through belief propagation
Proceedings of the 21st ACM international conference on Information and knowledge management
On using category experts for improving the performance and accuracy in recommender systems
Proceedings of the 21st ACM international conference on Information and knowledge management
Exploiting trustors as well as trustees in trust-based recommendation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Exploiting trustors as well as trustees in trust-based recommendation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Some portal sites have been providing price-comparison services. For the price-comparison services, however, they do not provide personalized recommendations. This paper proposes a strategy of recommendations for the price-comparison services. The strategy uses the click-log data to identify user's preference. We apply the strategy to three recommendation methods. Through the experiments, we have shown the possibility of recommendation for price-comparison services with the real-world data.