Network Literature Recommendation Technology Based on User-Based Collaborative Filter

Ran He; Guo Hui Song; Shu Tao Sun

doi:10.4028/www.scientific.net/AMR.926-930.2362

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Network Literature Recommendation Technology Based...

Network Literature Recommendation Technology Based on User-Based Collaborative Filter

Abstract:

With the development of web2.0, network literature website has become an import carrier of publishing literature and getting novel. At present, the increasing of the number of network literature brings great confusion for audience. Therefore, network literature website need to recommend potential interested literature according to readers’ different requirements to take full advantage of resource and provide personalized services. The thesis we use the user-based collaborative algorithm to recommend readers for interested literature. We analysis the influence of k-value on recommend result and utilize kinds of Measurements to evaluate the results.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

2362-2365

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.2362

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Online since:

May 2014

Authors:

Ran He*, Guo Hui Song, Shu Tao Sun

Keywords:

Collaborative Filter, Network Literature, Recommender, User-Based

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