发明名称 PERSONALIZED RECOMMENDATION METHOD AND SYSTEM, AND COMPUTER-READABLE RECORD MEDIUM
摘要 Provided is a method, system, and a computer-readable record medium for providing a personalized recommendation of products. The method of providing a personalized recommendation of products may include obtaining a first recommendation result using each of two or more single recommendation algorithms, performing a first performance evaluation, using a processor, with respect to the first recommendation result from each of the single recommendation algorithms, obtaining a second recommendation result based on the first recommendation result from each of the two or more single recommendation algorithms using a hybrid recommendation algorithm, the hybrid recommendation algorithms being different than each of the two or more single recommendation algorithms, performing a second performance evaluation, using the processor, with respect to the second recommendation result from the hybrid recommendation algorithm, and listing product recommendations after selecting a recommendation algorithm having a priority using the first performance evaluation and the second performance evaluation.
申请公布号 US2016162974(A1) 申请公布日期 2016.06.09
申请号 US201414563676 申请日期 2014.12.08
申请人 LG CNS CO., LTD. 发明人 Lee Hwan Muk;Lee Dae Sik;Kim Byung Keug;Kim Soo Min;Park Min Yong;Song Han Yi;Lee Dong Yoon;Lee Yoon Jae
分类号 G06Q30/06 主分类号 G06Q30/06
代理机构 代理人
主权项 1. A method of providing a personalized recommendation of products, comprising: obtaining a first recommendation result using each of two or more single recommendation algorithms; performing a first performance evaluation, using a processor, with respect to the first recommendation result from each of the single recommendation algorithms; obtaining a second recommendation result based on the first recommendation result from each of the two or more single recommendation algorithms using a hybrid recommendation algorithm, the hybrid recommendation algorithms being different than each of the two or more single recommendation algorithms; performing a second performance evaluation, using the processor, with respect to the second recommendation result from the hybrid recommendation algorithm; and listing product recommendations after selecting a recommendation algorithm having a priority using the first performance evaluation and the second performance evaluation.
地址 Seoul KR
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