Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
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Information Retrieval
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Analyzing category correlations for recommendation system
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
A smart movie recommendation system
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Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
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Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
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Cold-start problem is eminent when dealing with new users and new or updated items in web environments. To approach the problem we draw motivation from the innovation diffusion theory. We thoroughly analyzed the information diffusion in the studied large scale corporate portal and discovered that innovators play the key role in the information spread. Applying these findings we introduce a novel effective solution to the cold-start problem by providing recommendations based on the browsing features of identified selected innovators. The system has been experimentally tested and evaluated.