Recommendation Model Oriented Semantic Search
Xianhua Li · Journal of Guangxi Normal University · 2008
The overload of information makes it too time consuming for common users to find what they really want.It is very urgent to improve current search engines.This paper,presents a recommendation model based on experts' search histories for recommending Web Pages.Two kinds of user profiles are defined:common user profile and expert profile.And two computation models are given.Based on the oboved methods a semantic search recommender system running on Nutch Search Engine.It is validated that performance of recommendation is favorable in practice.