Search result diversification based on hierarchical intents

Sha Hu, Zhicheng Dou, Xiaojie Wang, Tetsuya Sakai, Ji Rong Wen

研究成果: Conference contribution

44 被引用数 (Scopus)

抄録

A large percentage of queries issued to search engines are broad or ambiguous. Search result diversification aims to solve this problem, by returning diverse results that can fulfill as many different information needs as possible. Most existing intent-aware search result diversification algorithms formulate user intents for a query as a flat list of subtopics. In this paper, we introduce a new hierarchical structure to represent user intents and propose two general hierarchical diversification models to leverage hierarchical intents. Experimental results show that our hierarchical diversification models outperform state-of-the-art diversification methods that use traditional flat subtopics.

本文言語English
ホスト出版物のタイトルCIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management
出版社Association for Computing Machinery
ページ63-72
ページ数10
ISBN(電子版)9781450337946
DOI
出版ステータスPublished - 2015 10 17
イベント24th ACM International Conference on Information and Knowledge Management, CIKM 2015 - Melbourne, Australia
継続期間: 2015 10 192015 10 23

出版物シリーズ

名前International Conference on Information and Knowledge Management, Proceedings
19-23-Oct-2015

Other

Other24th ACM International Conference on Information and Knowledge Management, CIKM 2015
CountryAustralia
CityMelbourne
Period15/10/1915/10/23

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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