Presentation | 2017-02-10 Calculating the Similarity of Hobbies and Preferences by Word2Vec Using Dating Service Data Toshiki Akehata, Kentaro Nakanishi, Takuya Iwamoto, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Dating Service is a service that users can search for lovers through the Internet. Many of the conventional dating services are based on the assumption that the user spontaneously actively seeks an ideal opponent and approaches with a message or the like. However, it is difficult to positively explore and approach, and continuous communicate with your opponent. Therefore, we are aiming to build a system to act on behalf of all of the action of up to meet in the real world. This system consists of partner's search and communication. We will deal with the partner's search in this paper. In the conventional partner's search, candidates are basically listed up according to search conditions. Although one of the search conditions has hobbies / preferences, it is rare that it perfectly matches the ideal of the searcher. However, it seems that there are things that are strongly related or similar, although the content itself of the hobbies / preferences is different. However, it seems that similar hobbies / preferences are considered to exist. It is possible to add similarity to the search condition if Hobby/ preference similarity can be calculated. This makes it possible to flexible search that is not only simple match, mismatch. We calculate the similarity of words related to hobbies / preferences by vectorizing each word in the sentence that using the profile registered in the actual Dating Service with Word2Vec. Then, it shows that it is possible to conduct a search with similarity by evaluating and considering. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Text mining / Recommendation / Word similarity / Word2Vec |
Paper # | NLC2016-51 |
Date of Issue | 2017-02-02 (NLC) |
Conference Information | |
Committee | NLC / IPSJ-IFAT |
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Conference Date | 2017/2/9(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Hiroshi Kanayama(IBM) |
Vice Chair | Makoto Ichise(NTT DoCoMo) / Takeshi Sakaki(Univ. of Tokyo/Hottolink) |
Secretary | Makoto Ichise(Ryukoku Univ.) / Takeshi Sakaki(Kyushu Inst. of Tech.) |
Assistant | Ryuichiro Higashinaka(NTT) / Mitsuo Yoshida(Toyohashi Univ. of Tech.) |
Paper Information | |
Registration To | Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Information Fundamentals and Access Technologies |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Calculating the Similarity of Hobbies and Preferences by Word2Vec Using Dating Service Data |
Sub Title (in English) | |
Keyword(1) | Text mining |
Keyword(2) | Recommendation |
Keyword(3) | Word similarity |
Keyword(4) | Word2Vec |
1st Author's Name | Toshiki Akehata |
1st Author's Affiliation | mixi inc.(mixi) |
2nd Author's Name | Kentaro Nakanishi |
2nd Author's Affiliation | mixi inc.(mixi) |
3rd Author's Name | Takuya Iwamoto |
3rd Author's Affiliation | mixi inc.(mixi) |
Date | 2017-02-10 |
Paper # | NLC2016-51 |
Volume (vol) | vol.116 |
Number (no) | NLC-451 |
Page | pp.pp.81-84(NLC), |
#Pages | 4 |
Date of Issue | 2017-02-02 (NLC) |