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Question recommendation for user-interactive question answering systems

  • Dawei Hu
  • , Shenhua Gu
  • , Shitong Wang
  • , Liu Wenyin
  • , Enhong Chen

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

A balanced question recommendation mechanism for user-interactive question answering (QA) systems is proposed to automatically recommend a new question to suitable users to answer. In this mechanism, a user modeling method is used to estimate the interests and professional areas of each user so that we can choose suitable users to answer a given question. To make most questions be answered in time, a load balancing component is used to balance the work of each user. Moreover, a question priority queue is maintained to ensure the important questions to be recommended earlier. Preliminary experiments show our proposed mechanism's accuracy in question recommendation and efficacy in load balancing for all users. © 2008 ACM.
Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008
Pages39-44
DOIs
Publication statusPublished - 2008
Event2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008 - Suwon, Korea, Republic of
Duration: 31 Jan 20081 Feb 2008

Publication series

NameProceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008

Conference

Conference2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008
PlaceKorea, Republic of
CitySuwon
Period31/01/081/02/08

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

The work described in this paper was fully supported by a grant from City University of Hong Kong (Project No. 7002137), the National Grand Fundamental Research 973 Program of China under Grant No.2003CB317002, and the National Natural Science Foundation of China under Grant No. 60573077, and has benefited from various discussions among the group members of the Joint Research Lab between CityU and USTC in Advanced Research Institute in Suzhou (China), in particular, Gang Liu, Wanpeng Song, Tianyong Hao, and Wei Chen.

Research Keywords

  • load balancing
  • question answering (QA)
  • question recommendation

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