Presentation 2013-06-22
On the implement of recommending friends to Twitter users
Iwao FUJINO, Yuko HOSHINO,
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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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Conference Information
Committee DE
Conference Date 2013/6/15(1days)
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Paper Information
Registration To Data Engineering (DE)
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) Twitter
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