Query Recommendation Based on Manifold Ranking
Pan Du · Zhongwen xinxi xuebao · 2011
To address problems of both relevance measurement and redundance in traditional query recommendation approaches,in this paper,we propose a novel query recommendation approach based on Manifold Ranking.This approach exploites the intrinsic global manifold structure to capture the relevance among queries,and effectively avoids the deficiency of the relevance measurement in traditional approaches when dealing with high-dimensional query data.Meanwhile,it also reduces the redundance by boosting representative queries in the structure.Empirical experiments on a large scale query log of a commercial search engine show that query recommendation using Manifold Ranking is superior to both the traditional approach and the existing Hitting-time Ranking approach.