动物
发表于 2025-3-30 10:14:35
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发怨言
发表于 2025-3-30 15:52:55
DS3I - A Dynamic Semantically Enhanced Service Selection Infrastructurelementation for semantically enhanced dynamic service selection. DS.I and its semantic middleware components are based upon an ESB and semantic annotations of services and allows for one-step service selection at runtime of a process.
Presbycusis
发表于 2025-3-30 16:58:59
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Morphine
发表于 2025-3-30 23:22:24
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洁净
发表于 2025-3-31 02:19:18
Trust-Based Selection of Partnerses. We here briefly introduce a computational model of trust that uses a simple machine learning mechanism to dynamically derive the expected tendencies of behavior of potential candidate partner agents. The results obtained in our comparison study allow us to point to the best trust-based selecting methods to use in specific situations.
颂扬国家
发表于 2025-3-31 05:39:03
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mighty
发表于 2025-3-31 12:13:18
Semantic Contextualisation of Social Tag-Based Profiles and Item Recommendationsdy measuring the performance of several tag-powered item recommendation algorithms by using contextualised profiles. The results obtained show that our approach is able to accurately determine the actual semantic meanings and contexts of tag annotations, and allow item recommenders to achieve better precision and recall on their predictions.
Confidential
发表于 2025-3-31 14:39:43
On Collaborative Filtering Techniques for Live TV and Radio Discovery and Recommendationa general collaborative strategy for discovering and recommending live events from recordings with different timings and settings. Then, we present an analysis of collaborative filtering algorithms using data generated by a real digital video and radio recorder.
蚊子
发表于 2025-3-31 20:59:27
1865-1348 iation systems, collaborative filtering and preference learning, social recommender systems, agent interaction and trust management, and innovative strategies for preference elicitation and profiling..978-3-642-23013-4978-3-642-23014-1Series ISSN 1865-1348 Series E-ISSN 1865-1356
apropos
发表于 2025-4-1 00:43:43
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