Presentation | 2013-06-22 On the implement of recommending friends to Twitter users Iwao FUJINO, Yuko HOSHINO, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The most important role of SNS like Twitter is to support communication between users. However, accounts of celebrity and company appear mostly in the current service of recommending users. These accounts may not helpful for motivating to build a new communication relationship with other users. Therefore, we considered a method to recommend the users who have similar preference and interest by processing user profile and tweet text on Twitter. We used morphological analysis to get terms from Japanese text. Also we calculated tfidf weight parameter and the cosine similarity to pick out users who have remarkable similarity each other. By using this method, we think that more new communication relationship can be built, which will enhances the social role of Twitter. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Twitter / recommending friends / morphological analysis / tfidf / cosine similarity |
Paper # | DE2013-16 |
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Committee | DE |
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Conference Date | 2013/6/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On the implement of recommending friends to Twitter users |
Sub Title (in English) | |
Keyword(1) | |
Keyword(2) | recommending friends |
Keyword(3) | morphological analysis |
Keyword(4) | tfidf |
Keyword(5) | cosine similarity |
1st Author's Name | Iwao FUJINO |
1st Author's Affiliation | School of Information and Telecommunication Engineering, Tokai University() |
2nd Author's Name | Yuko HOSHINO |
2nd Author's Affiliation | School of Information and Telecommunication Engineering, Tokai University |
Date | 2013-06-22 |
Paper # | DE2013-16 |
Volume (vol) | vol.113 |
Number (no) | 105 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |