Titlebook: Database and Expert Systems Applications; 16th International C Kim Viborg Andersen,John Debenham,Roland Wagner Conference proceedings 2005

紀念

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Database and Expert Systems Applications978-3-540-31729-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

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協(xié)議

micronized

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Laura A. Payne,Michelle A. Fortieran represent user’s interest since this graph effectively integrates the web and the user database. Our experimental results for a local restaurant database shows that local web pages related to the database entries are highly ranked based on our method.

Pelago

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1FAWN

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An Adaptive Spreading Activation Scheme for Performing More Effective Collaborative Recommendation,d effective. Finally, we test our method on the EachMovie dataset, the most typical benchmark for collaborative recommendation and show that our method succeeds in relieving the effect of over activation and outperforms the existing algorithms on both the sparse and dense dataset.