19-06-2012, 01:05 PM
User-and-Query-Dependant Ranking for Web Databases
User-and-Query.pptx (Size: 1.06 MB / Downloads: 40)
Introduction
Due to the immense of data in the web, retrieving of records from different web databases in a particular domain(vehicles , airlines..)has become a routine task.
One of the major problems in this context is ranking the results of a user query.
When a user poses a query, he has been getting lacks of tuples as results in response (based on query condition).
Existing System
Earlier systems had not provided ranking for the query results in a particular domains.
Thus they are not helping the users to find the items of interest from among a large pool of potentially interesting items.
Some ranking functions are developed but they are either user dependant or query dependant but not both.
Draw backs
In order to find the results that match one’s interest, the user has to browse through this large result set – a tedious and time-consuming task.
The problem being faced here is,
1. since each user’s requirements vary , all the users may not be satisfied with the same type data results for a particular query.
2. Most of the Web users would prefer displaying query results sorted on multiple attribute values, which would be closer to their expectation.
Proposed System
We propose an automated solution for ranking Web database query results in a user- and query-dependent environment.
Our framework provides an automated query- as well as user-dependent ranking solution without requiring users to possess knowledge about query languages, data models and ranking mechanisms.
User can just post his opinion like feed back on a particular data, and basing on that opinion, the ranking function is generated
We develop a ranking model, based on two complementary measures of query similarity and user similarity, to derive functions from a workload containing ranking functions for several user-query pairs.
Advantages:
Results for the query are ranked basing on both the user type and his exact requirement(query), closer to his expectation.
Best ranking is made for the data as per the query with conditions of multiple attribute values
Relevant data is retrieved within no time
Most of the time in searching for the required data can be reduced
The proposed system technique can be incorporated in the real world applications.
Query-similarity:
When customer logs in, he searches for the bike details with specific price.
Then bike details are to be appeared to the customer to his desire/wish.
Details are displayed from different types of databases, using join query.
Then, he gives feedback to that product.