闷热 发表于 2025-3-28 18:17:44
http://reply.papertrans.cn/67/6650/664903/664903_41.pnggrandiose 发表于 2025-3-28 21:47:01
Closed Pattern Mining for the Discovery of User Preferences in a Calendar Assistantof closed patterns as a user preference representation is based on both theoretical and practical considerations supported by Formal Concept Analysis. We simulated interaction with a calendar application using 16 months of real data from a user’s calendar to evaluate the accuracy and consistency ofESO 发表于 2025-3-29 00:15:59
An Implementation of Goal-Oriented Fashion Recommendation Systeml find their desires. In recent researches, they have introduced many kinds of method for Recommender systems, but these system still have problems which are based on concrete attributes of the products and a complex users model. Within this paper, we introduce a new technique, Goal Oriented RecommeObserve 发表于 2025-3-29 04:59:48
http://reply.papertrans.cn/67/6650/664903/664903_44.pngOffset 发表于 2025-3-29 08:47:05
http://reply.papertrans.cn/67/6650/664903/664903_45.png珊瑚 发表于 2025-3-29 12:41:49
http://reply.papertrans.cn/67/6650/664903/664903_46.png外露 发表于 2025-3-29 16:51:41
A Layered Ontology-Based Architecture for Integrating Geographic Informationome of these solutions were created to deal with geographic information, whose inherent features make the integration process particularly complex. Among others, the use of ontologies has been proposed as a way of supporting an automated integration. However, how to specify and use a geographic onto凶猛 发表于 2025-3-29 20:40:47
http://reply.papertrans.cn/67/6650/664903/664903_48.png营养 发表于 2025-3-30 01:17:45
http://reply.papertrans.cn/67/6650/664903/664903_49.png祖传 发表于 2025-3-30 05:50:20
Adaptation of FCANN Method to Extract and Represent Comprehensible Knowledge from Neural Networksprecedented situations, keeping tolerable errors in their outputs. However, humans cannot assimilate the knowledge kept by these networks, since such knowledge is implicitly represented by their structure and connection weights. Recently, the FCANN method, based in Formal Concept Analysis, has been