Cross-lingual Product Recommendation System Using Collaborative Filtering
Cross-lingual Product Recommendation System Using Collaborative Filtering
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DOI：
10.5715/jnlp.24.579
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发表时间：
2017-09
期刊：
影响因子：
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通讯作者：
Kanako Komiya;Minoru Sasaki;Hiroyuki Shinnou;Y. Kotani
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文献类型：
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作者：
Kanako Komiya;Minoru Sasaki;Hiroyuki Shinnou;Y. Kotani
我们开发了一个跨语言的推荐系统，使用协同过滤与英日翻译对产品名称，以帮助非日本买家谁说英语，当他们访问日本购物网站。顾客购买历史在英语购物网站和那些在另一个日本购物网站被用于实验。进行了两个实验来评估系统。它们是（1）双重交叉验证，其中一半的翻译对被掩蔽，以及（2）使用所有翻译对的实验。在第一组实验中，对系统的精确度、召回率和平均倒数等级（MRR）进行了评估，以评估推荐系统的总体性能。我们根据向量的特征值类型（二进制值与评级值）研究了格式化翻译对的效果和性能。相比之下，在第二个实验中显示了在更现实的场景中推荐的物品类型。结果表明，掩盖项目被发现更有效地比畅销书推荐系统时，进一步，只有在日本的网站上，似乎是有关买家的利益，可以发现系统在更现实的情况下。
We developed a cross-lingual recommender system using collaborative filtering with English-Japanese translation pairs of product names to help non-Japanese buyers who speak English when they are visiting Japanese shopping websites. Customer purchase histories at an English shopping site and those at another Japanese shopping site were used for the experiments. Two experiments were conducted to evaluate the system. They were (1) two-fold cross validation where half of the translation pairs were masked and (2) experiments where all of the translation pairs were used. The precisions, recalls, and mean reciprocal ranks (MRRs) of the system were evaluated to assess the general performance of the recommender system in the first set of experiments. We investigated the effect formatting the translation pairs and the performance according to the type of feature value of the vectors (binary versus rating values). In contrast, the kind of items that were recommended in a more realistic scenario were shown in the second experiment. The results reveal that masked items were found more efficiently than when the bestseller recommender system was used and, further, that items only on the Japanese site that seemed to be related to the buyers’ interests could be found by the system in the more realistic scenario.