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Research Opportunities in India & Keyword Search Over Dynamic Categorized Information

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Software Industry in India and Keyword Search Over Dynamic Categorized Information Manish Bhide [email_address]
My Background ,[object Object],[object Object],[object Object],[object Object]
Types of Software Companies (type of work) ,[object Object],[object Object],[object Object],[object Object]
Services Companies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Services Companies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Product Development ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Research and Development ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How it all fits together ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Take-away for you… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How to find a Job in good companies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Keyword Search Over Dynamic Categorized Information Joint work with: Venkatesan Chakravarthy, Krithi Ramamritham and Prasan Roy
Motivating Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Motivating Example (contd..) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Problem Statement ,[object Object],Q(t 1 ,t 2 ..,t l ) Keyword Query Top-K Categories d i = Blog Posts A(d i ) = Attributes in user profile T(d i ) = Text of blog Blog posts about educational issues p c = Text classifier “ PP Manifesto” ,[object Object],[object Object],C 1 : p c Categories C 2 : p c C 5 : p c C 6 : p c C 3 : p c C 4 : p c C N : p c d 1 : A(d 1 ), T(d 1 ) d 2 : A(d 2 ), T(d 2 ) d 3 : A(d 3 ), T(d 3 ) . . Information Repository
Scoring Function ,[object Object],[object Object],[object Object],[object Object]
Computing Top-K Categories ,[object Object],[object Object],Q(t 1 ,t 2 ..,t l ) Keyword Query Top-K Categories Meta-Data d N : A(d N ), T(d N ) C 1 : p c Categories C 2 : p c C 5 : p c C 6 : p c C 3 : p c C 4 : p c C N : p c d 1 : A(d 1 ), T(d 1 ) d 2 : A(d 2 ), T(d 2 ) d 3 : A(d 3 ), T(d 3 ) . . Information Repository
Naïve Approach: Update-all Strategy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Need for an intelligent selective update strategy!
CS* Approach: Selective update of categories with selective data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Statistics Maintained by CS* C i : p c ,[object Object],[object Object],[object Object],Refresh Refresh ,[object Object],[object Object],rt(C i ) = s 6 tf s 6 (C i ,t) will be available Time-step d 1 d 2 d 3 d 4 d 5 d 6 d 7 d 8 d 9 s 1 s 2 s 3 s 4 s 5 s 6 s 7 s 8 s 9 Data-Items
Estimating approximate tf ,[object Object],[object Object],[object Object],[object Object],C i : p c Refresh rt(C i ) = s 6 tf s 6 (C i ,t) will be available Current Time ,[object Object],Time-step d 1 d 2 d 3 d 4 d 5 d 6 d 7 d 8 d* s 1 s 2 s 3 s 4 s 5 s 6 s 7 s 8 s* Data-Items
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Determining Important Categories ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Importance is a measure of the likelihood of the category being used to answer a query in the future
Range Selection Problem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Query Answering Module ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Query Answering Module ,[object Object],[object Object],[object Object],[object Object],TA Score est s* (*,Q) Categories sorted based on tf est s* (*,t 1 ) x idf est s* (t 1 ) Categories sorted based on tf est s* (*,t l ) x idf est s* (t 1 ) tf est s* (*,t 1 ) x idf est s* (t 1 ) C 3 C 1 C 9 C 2 tf est s* (*,t 2 ) x idf est s* (t 2 ) C 5 C 2 C 6 C 1 tf est s* (*,t l ) x idf est s* (t l ) C 6 C 3 C 1 C 8 C 4 C 6 C 1 C 8 C 7
Query Answering Module ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You & Questions!

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Research Opportunities in India & Keyword Search Over Dynamic Categorized Information

  • 1. Software Industry in India and Keyword Search Over Dynamic Categorized Information Manish Bhide [email_address]
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  • 11. Keyword Search Over Dynamic Categorized Information Joint work with: Venkatesan Chakravarthy, Krithi Ramamritham and Prasan Roy
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  • 30. Thank You & Questions!