Akshay Surve

Short Description:

UFeedRevs (User Feeds Relevant Results) is an approach for increasing the relevancy of search reults using user feedback. feedee is a prototype implemented based on the UFeedRevs approach. feedee is pseudo-search engine powered by Google Search Results API which maintains a partial index in the background and allows users to give feedback of the search results and thus come up with more relevant search results the next time.

Technologies used: PHP, MySQL, NuSOAP library, Google Developer API

Project URL:

http://feedee.dbit.in

Project Members:

• Akshay Surve
• Manav Shah

Project Documentation:

Proposal: http://feedee.dbit.in/UFeedRevs.ppt

Initial Report: http://feedee.dbit.in/UFeedRevs-ProjA.pdf

Final Report: http://feedee.dbit.in/UFeedRevs-Final.pdf

Final Presentation: http://feedee.dbit.in/UFeedRevs-Final.ppt

Paper: Optimizing Web Search Engines Performance using User Feedback, Surve A., Shah M, Tripathy A. – International Conference on Business and Information (BAI) 2007