Study on Personalization Recommendation System Based on Recruitment Information
Tao Tan, Leting Tan · Procedia Engineering · 2012
With the rapid development of Deep Web, a large number of Deep Web information often lead to “information overload” and “information disorientated , yet, personalized service can solve this problem. This paper introduces personalization recommendation to the Deep Web data query, a user interest model based on fine-grained management of structured data and a similarity matching algorithm based on attribute eigenvector in allusion to personalization recommendation are proposed. Secondly, develops a prototype recommendation system based on recruitment information. Finally, the efficiency and effectiveness of the personalization recommendation are verified through the experiment