Presentation 2018-06-22
Personalized Social Search Based on Agglomerative Hierarchical Graph Clustering
Kenkichi Ishizuka,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes a personalized social search algorithm for retrieving multimedia contents of a consumer generated media (CGM) site having a social network system (SNS). The proposed algorithm generates cluster information on users in the social network by using an agglomerative hierarchical graph clustering, and stores them to a contents database (DB). Retrieved contents are arranged so that the contents will be interested in by a searcher are in higher place order by scores calculated according to similarities of cluster information between a searcher and authors of contents. The personalized social search is able to be implemented by using the proposed algorithm with small data usage even if there are a lot of users in the social network because it doesn’t require direct relational information between a searcher and authors of contents. This paper also describes the evaluation experiments to confirm effectiveness of the proposed algorithm.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Social search / Graph clustering / Louvain method
Paper # DE2018-7
Date of Issue 2018-06-15 (DE)

Conference Information
Committee DE
Conference Date 2018/6/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) LIFULL Co., Ltd.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akiyo Nadamoto(Konan Univ.)
Vice Chair Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.)
Secretary Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science)
Assistant Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Personalized Social Search Based on Agglomerative Hierarchical Graph Clustering
Sub Title (in English)
Keyword(1) Social search
Keyword(2) Graph clustering
Keyword(3) Louvain method
1st Author's Name Kenkichi Ishizuka
1st Author's Affiliation DWANGO Co., Ltd.(DWANGO)
Date 2018-06-22
Paper # DE2018-7
Volume (vol) vol.118
Number (no) DE-107
Page pp.pp.31-35(DE),
#Pages 5
Date of Issue 2018-06-15 (DE)