Page Recommendation Based on User Behavior in Collaborative Working Environment
Kai Nan · Jisuanji gongcheng · 2012
Wiki based collaboration platforms are used broadly,which brings a great of flexibility and effectiveness.However the lack of navigation supporting in Wiki makes it hard for user to find target page.By using collaboration filtering technical,this paper implements a page recommendation system to build the connection of pages.The absence of explicit rating in Wiki is solved by using implicit rating extracting from user history behavior.For the relation of users is time related,a new similarity function is proposed.Application result shows that the page recommendation system enhances the user browsing experience in Wiki,and helps user find target page effectively.