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
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
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)