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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Knowledge-based recommender system ： ウィキペディア英語版 Knowledge-based recommender system Knowledge-based recommender systems (knowledge based recommenders) 〔 are a specific type of recommender system that are based on explicit knowledge about the item assortment, user preferences, and recommendation criteria (i.e., which item should be recommended in which context?). These systems are applied in scenarios where alternative approaches such as Collaborative filtering and Content-based filtering cannot be applied. A major strength of knowledge-based recommender systems is the non-existence of cold-start (ramp-up) problems. A corresponding drawback are potential knowledge acquisition bottlenecks triggered by the need of defining recommendation knowledge in an explicit fashion. ==Item domains== Items such as apartments and cars are not purchased very often, therefore rating-based systems often do not perform well due to a low number of available ratings.〔 In complex item domains customers want to specify their preferences explicitly (e.g., "the maximum price of the car is X") . In this context, constraints have to be taken into account by the recommender system, for example, only financial services must be recommended that support the investment period specified by the customer. Both latter aspects are not supported by approaches such as Collaborative filtering and Content-based filtering. Further examples of item domains relevant for knowledge-based recommender systems are financial services,〔 digital cameras,〔 and tourist destinations.〔 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Knowledge-based recommender system」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.