Query- And User-Dependent Approach for Ranking Query Results in Web Databases

One Size Does Not Fit All: Towards User & Query Dependent Ranking For Web Databases

In this paper, we propose an automated solution for ranking query results of Web databases in an userand query-dependent environment. We first propose a learning method for inferring a workload of ranking functions by investigating users’ browsing choices over individual query results. Based on this workload, we propose a similarity model, based on two novel metrics – userand querysimilarity, f...

Utilizing Resource Importance for Ranking Semantic Web Query Results

To realize the vision of the Semantic Web, effective techniques of Information Retrieval need to be developed. Ranking the results of a search is one of the main challenges of an Information Retrieval system. In this paper we present a technique for ranking the results of a Semantic Web query. The ranking is based on various factors including the Semantic Web resource importance. We have modifi...

A Knowledge-Based Fuzzy Query and Results Ranking Approach for Relational Databases

Users often have vague or imprecise ideas when searching the databases and thus may not know how to precisely formulate queries that lead to satisfactory answers. Based on the fuzzy set thoery, this paper proposes a fuzzy query approach which can support the expression of fuzzy queries and translate the fuzzy query into the precise query in order to provide relevant answers to the users. The fu...

Modeling User Interests for Zero-Query Ranking

Proactive search systems like Google Now and Microsoft Cortana have gained increasing popularity with the growth of mobile Internet. Unlike traditional reactive search systems where search engines return results in response to queries issued by the users, proactive systems actively push information cards to the users on mobile devices based on the context around time, location, environment (e.g...

Contextualized Web Search: Query-dependent Ranking and Social Media Search