論文

査読有り
2011年

OSUSUME: Cross-lingual recommender system for research papers

ACM International Conference Proceeding Series
  • Kiyoko Uchiyama
  • ,
  • Hidetsugu Nanba
  • ,
  • Akiko Aizawa
  • ,
  • Takeshi Sagara

開始ページ
39
終了ページ
42
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1145/1961634.1961642

In this paper, we introduce a cross-lingual recommender system for research papers based on multiple-facets in Japanese. The system is the first Japanese research paper recommender system and recommends international papers simply by typing Japanese keywords. Academic search engine users vary from undergraduate students to researchers. As the users have different backgrounds and preferences, they will aim at different kind of papers. In order to consider the various users' preferences, the system introduces eight viewpoints: internationality, similarity, state of the art, serendipity, contextual analysis (target and method), essentiality and authority. The recommendation results of our system were evaluated by a questionnaire survey. Based on the survey results, we discuss the relevance of the proposed viewpoints and the precision of the system. Copyright © 2011 ACM.

リンク情報
DOI
https://doi.org/10.1145/1961634.1961642
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79955136318&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=79955136318&origin=inward

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