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:
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