纪念
发表于 2025-3-30 11:46:55
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bizarre
发表于 2025-3-30 15:10:34
Database and Expert Systems Applications978-3-540-31729-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
garrulous
发表于 2025-3-30 20:10:24
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协议
发表于 2025-3-30 22:46:00
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micronized
发表于 2025-3-31 03:38:27
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bacteria
发表于 2025-3-31 06:48:55
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
发表于 2025-3-31 12:50:02
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abracadabra
发表于 2025-3-31 14:25:31
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1FAWN
发表于 2025-3-31 18:51:31
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Flustered
发表于 2025-3-31 23:42:59
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.