ENCOURAGING SOFT QUERIES FOR INDEPENDENT E-BUSINESS WEB DATABASES

To deal with the fast expansion of the World Wide Web has made a huge number of E-Business Web databases like used vehicles, houses databases etc. to become accessible to ordinary web users. These users do not have definite query intent loosening ions when searching the E-Business Web databases and may not know how to formulate correct queries that will provide satisfactory answers. This paper proposes a unique approach of the soft query and results ranking by using query loosening mechanism in order to present ranked appropriate answers to the web users. Depending upon on the user asked query, we hypothesize how much the user concern about each attribute and assign a corresponding value to it. Then, each tuple in the asked query results is loosened according to the attribute value and is acted as a loosen query to get the likeness tuples from the database. The loosening sequence of all attributes and the loosened level on each attribute are varied with respect to the corresponding attribute values. The appropriate answers, they are finally ranked according to their likeliness to the asked query. The performance of our approach is also determined by experimental resul