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UFeedRevs Redefine Web Searches Overview

Active Feedback of Effective Web Search. Demerits: Increased User Involvement ... Re-define Web Searches. System Flow. Collect User Feedbacks. Filter User ...

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UFeedRevs Redefine Web Searches Overview

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Presentation Transcript

    Slide 1:UFeedRevs

    Redefine Web Searches >>

    Slide 2:Overview

    Introduction Related Work UFeedRevs System Flow feedee Interpretations of BETA tests Future Research Areas of Application Questions or Feedbacks Thanks

    Slide 3:Introduction

    Search Engines Primary gateways of Information Access Claim to index more than 19 billion pages Today focus shifts from size to relevancy !

    Slide 4:Related Work

    Web click-through data Merits: Effortless, Shows Improvements Demerits: Inconclusive Active Feedback of Effective Web Search Demerits: Increased User Involvement Adaptive Web Search based on User Profile Merits: Improves Performance, Popular Demerits: Exhaustive, User Specific

    Slide 5:UFeedRevs

    User Feeds Relevant Results Empower the User Focus on relevancy and usefulness Power of Collaborative Filtering Re-define Web Searches

    Slide 6:System Flow

    Collect User Feedbacks Filter User Feedbacks Compute Feedback Rating

    Slide 7:System Flow (contd.)

    Compute Feedback Rating Large Samples ( >100) Mode Evaluation Statistical Dispersion around Mode a - cutoff

    Slide 8:System Flow (contd.)

    Aging and Flushing Value existing feedbacks Consider new feedbacks Flush the old ones

    Slide 9:feedee

    feedee is a pseudo-search engine. More you feed it the better (fatter ;-) it gets http://feedee.dbit.in

    Slide 10:feedee (System Architecture)

    Slide 11:feedee (Powered by…)

    Google Search API PHP 4.1 MySQL 4.3.x NuSOAP 0.6.1

    Slide 12:feedee (Screenshots)

    Slide 13:Interpretations from BETA tests

    Suitable for theme-based searching Overall increase in *relevancy* of results Limited resistance to User Bias

    Slide 14:Future research

    More extensive testing in terms of… scale audience query categories Recognizing areas in which this scheme can prove to be useful Optimizing feedee

    Slide 15:Areas of Application

    Theme-based Search Engine Local Transparent Layer Query Knowledge Discovery Potential for Non-text based searches Document Search Engine ...and many more

    Slide 16:Questions or Feedbacks

    “Our quest to answer a few key questions ended up in more questions”

    Slide 17:Before we say… Thnks!

    Group Members: Akshay Surve Manav Shah Project Guide: Prof. Amiya Tripathy Special Thanks: Dr. S. Krishnamoorthy (Director RnD, DBIT) Dr. Revathy Sundararajan Prof. D.D. Patil Everyone who participated in BETA testing (feeding)

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