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New Technology of Library and Information Service  2016, Vol. 32 Issue (7-8): 110-119    DOI: 10.11925/infotech.1003-3513.2016.07.14
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Context-aware Recommendation System for Mobile Digital Libraries
Hong Liang(),Qian Chen,Fan Xing
School of Information Management, Wuhan University, Wuhan 430072, China
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[Objective] This paper proposes a context-aware recommendation system for the mobile digital libraries, with the help of the latter’s collection features and users behaviors. [Methods] Based on the theory of similar users having similar choices, we first modeled the users’ interests by introducing the concept of roles. Second, we designed an effective Weighted Set Similarity Query (WSSQ) algorithm to build a role-based trust network for the users. Finally, we modified the existing context-aware recommendation system, which was then evaluated with an Extended Epinions dataset. [Results] The proposed new recommendation system was feasible, and had better performance than other methods. [Limitations] The contexts and roles were not rich enough to process large user samples. [Conclusions] This study could help us improve the mobile digital library’s resource recommendation system.

Key wordsMobile digital library      Context-aware recommendation      WSSQ algorithm     
Received: 22 April 2016      Published: 29 September 2016

Cite this article:

Hong Liang,Qian Chen,Fan Xing. Context-aware Recommendation System for Mobile Digital Libraries. New Technology of Library and Information Service, 2016, 32(7-8): 110-119.

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