Research Papers Library

Assessing relevance and trust of the deep web sources and results based on inter-source agreement

 

Deep web search engines face the formidable challenge of retrieving high quality results from the vast collection of searchable databases. Deep web search is a two step process of selecting the high quality sources and ranking the results from the selected sources. Though there are existing methods for both the steps, they assess the relevance of the sources and the results using the query-result similarity. When applied to the deep web these methods have two deficiencies. First is that they are agnostic to the correctness (trustworthiness) of the results. Secondly, the query based relevance does not consider the importance of the results and sources...

Download PDF

 

AOFIRS

World's leading professional association of Internet Research Specialists - We deliver Knowledge, Education, Training, and Certification in the field of Professional Online Research. The AOFIRS is considered a major contributor in improving Web Search Skills and recognizes Online Research work as a full-time occupation for those that use the Internet as their primary source of information.

Get Exclusive Research Tips in Your Inbox

Receive Great tips via email, enter your email to Subscribe.