Query Mining for Community Based Web Search

We present an innovative approach to personalized Web search that exploits the search behaviour of a community of users to re-rank future result-lists according to the implied preferences of this group. Evaluation results demonstrate the precision and recall benefits of our collaborative search technique and we show how personalization can be achieved without the need for individual user profiling.