Cross-lingual Product Recommendation System Using Collaborative Filtering
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- Komiya Kanako
- Ibaraki University
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- Sasaki Minoru
- Ibaraki University
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- Shinnou Hiroyuki
- Ibaraki University
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- Kotani Yoshiyuki
- Tokyo University of Agriculture and Technology
この論文をさがす
抄録
<p>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. </p>
収録刊行物
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- 自然言語処理
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自然言語処理 24 (4), 579-596, 2017
一般社団法人 言語処理学会
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詳細情報 詳細情報について
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- CRID
- 1390282679450559104
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- NII論文ID
- 130006250430
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- NII書誌ID
- AN10472659
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- ISSN
- 21858314
- 13407619
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- NDL書誌ID
- 028540926
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- IDR
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可