Recommending documents via knowledge flow-based group recommendation

Chin Hui Lai*, Duen-Ren Liu, Ya Ting Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recommender systems can mitigate the information overload problem and help workers retrieve knowledge based on their preferences. In a knowledge-intensive environment, knowledge workers need to access task-related codified knowledge (documents) to perform tasks. A worker's document referencing behaviour can be modelled as a knowledge flow (KF) to represent the evolution of his/her information needs over time. Document recommendation methods can proactively support knowledge workers in the performance of tasks by recommending appropriate documents to meet their information needs. However, most traditional recommendation methods do not consider workers' knowledge flows and the information needs of the majority of a group of workers with similar knowledge flows. A group's needs may partially reflect the needs of an individual worker that cannot be inferred from his/her past referencing behaviour. Thus, we leverage the group perspective to complement the personal perspective by using a hybrid approach, which combines the KF-based group recommendation method (KFGR) with the user-based collaborative filtering method (UCF). The proposed hybrid method achieves a trade-off between the group-based and the personalized method by integrating the merits of both methods. Our experiment results show that the proposed method can enhance the quality of recommendations made by traditional methods.

Original languageEnglish
Title of host publicationICSOFT 2011 - Proceedings of the 6th International Conference on Software and Database Technologies
Pages341-349
Number of pages9
DOIs
StatePublished - 14 Sep 2011
Event6th International Conference on Software and Database Technologies, ICSOFT 2011 - Seville, Spain
Duration: 18 Jul 201121 Jul 2011

Publication series

NameICSOFT 2011 - Proceedings of the 6th International Conference on Software and Database Technologies
Volume2

Conference

Conference6th International Conference on Software and Database Technologies, ICSOFT 2011
CountrySpain
CitySeville
Period18/07/1121/07/11

Keywords

  • Collaborative filtering
  • Document recommendation
  • Group recommendation
  • Knowledge flow

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