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Research on Enterprise Knowledge Recommendation Algorithm Based on Factorization Machines and Context Aware
Pages: 27-30+35
Year: Issue:  12
Journal: Information Science

Keyword:  knowledge recommendationfactorization machinescontext awarerecommendation system;
Abstract: At present, most proposed knowledge recommendation algorithm is still using methods based on contextual filter-ing. In this paper, we propose a new knowledge recommendation algorithm for enterprise using contextual modeling. Com-bining with a method which can transform knowledge context data into feature vector, we realize effect adaptation of staffs’ personalized knowledge requirement, and recommend knowledge specifically. Finally, through two experiments in sparsedata, we verify the algorithm a good quality of recommendation in linear time.
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