Presentation 2018-03-08
Document Recommendation Method based on the Content of Enterprise Documents for OSS Screen
Yuki Urabe, Shiro Ogasawara, Kentaro Hotta, Akira Inoue,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Many enterprise documents such as manuals are stored in a company. Data entry personnel is required to refer to relevant documents to prevent errors and to finish their tasks efficiently. However, it is difficult to search for documents that correspond to their situations on the OSS. In this paper, we describe how the existing methods TF-IDF and Doc2Vec can be effectively applied to recommending documents corresponding to the situation extracted from the OSS.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) enterprise document / OSS / recommendation technology / natural language processing
Paper # ICM2017-59
Date of Issue 2018-03-01 (ICM)

Conference Information
Committee ICM
Conference Date 2018/3/8(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Toshio Tonouchi(NEC)
Vice Chair Yuji Nomura(Fujitsu Labs.) / Yoichi Yamashita(NTT-N)
Secretary Yuji Nomura(Fujitsu) / Yoichi Yamashita(KDDI R&D Labs.)
Assistant Haruo Ooishi(NTT)

Paper Information
Registration To Technical Committee on Information and Communication Management
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Document Recommendation Method based on the Content of Enterprise Documents for OSS Screen
Sub Title (in English)
Keyword(1) enterprise document
Keyword(2) OSS
Keyword(3) recommendation technology
Keyword(4) natural language processing
1st Author's Name Yuki Urabe
1st Author's Affiliation NTT Access Network Service Systems Laboratories, NTT Corporation(NTT)
2nd Author's Name Shiro Ogasawara
2nd Author's Affiliation NTT Access Network Service Systems Laboratories, NTT Corporation(NTT)
3rd Author's Name Kentaro Hotta
3rd Author's Affiliation NTT Access Network Service Systems Laboratories, NTT Corporation(NTT)
4th Author's Name Akira Inoue
4th Author's Affiliation NTT Access Network Service Systems Laboratories, NTT Corporation(NTT)
Date 2018-03-08
Paper # ICM2017-59
Volume (vol) vol.117
Number (no) ICM-491
Page pp.pp.25-30(ICM),
#Pages 6
Date of Issue 2018-03-01 (ICM)