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SYSTEMS AND METHODS FOR PRODUCT RECOMMENDATION REFINEMENT IN TOPIC-BASED VIRTUAL STOREFRONTS
SYSTEMS AND METHODS FOR PRODUCT RECOMMENDATION REFINEMENT IN TOPIC-BASED VIRTUAL STOREFRONTS
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机译:基于主题的虚拟店面的产品推荐细化的系统和方法
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摘要
Described are systems and methods for product recommendation refinement in a topic-based virtual storefront embedded in a topical community web page. A system and method may facilitate determining user and community member activity in the virtual storefront based on which weighted keywords are derived. A topic set containing various weighted keywords may be iteratively configured for extracting and ordering one or more products that are extracted from a plurality of heterogeneous sources. A server may be configured for refining the topic set by modifying a baseline session keyword weight or a baseline contextual keyword weight based on a total topic set weight, an elasticity parameter, core topic keyword weights associated with core topic keywords, session keyword weights, and/or contextual keyword weights; and identifying, based at least on the configured topic set, products to be presented to a user as product recommendations in the virtual storefront.
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