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dc.contributor.authorLai, Chin-Huien_US
dc.contributor.authorLiu, Duen-Renen_US
dc.contributor.authorChen, Ya-Tingen_US
dc.date.accessioned2017-04-21T06:48:29Z-
dc.date.available2017-04-21T06:48:29Z-
dc.date.issued2011en_US
dc.identifier.isbn978-989-8425-77-5en_US
dc.identifier.urihttp://hdl.handle.net/11536/135532-
dc.description.abstractRecommender 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.en_US
dc.language.isoen_USen_US
dc.subjectCollaborative filteringen_US
dc.subjectGroup recommendationen_US
dc.subjectDocument recommendationen_US
dc.subjectKnowledge flowen_US
dc.titleRECOMMENDING DOCUMENTS VIA KNOWLEDGE FLOW-BASED GROUP RECOMMENDATIONen_US
dc.typeProceedings Paperen_US
dc.identifier.journalICSOFT 2011: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SOFTWARE AND DATABASE TECHNOLOGIES, VOL 2en_US
dc.citation.spage341en_US
dc.citation.epage349en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000393364000052en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper