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Yahoo! Answers
                              Siju Varghese
                         Engineer, Yahoo! Answers



IIT Chennai, Mar’12
Yahoo! Answers - background
    Community Question Answering (CQA)
       “Just because Google exists does not mean you                 Home > All Categories > Arts & Humanities > Philosophy
      should stop asking things”, A. Totsis, TechCrunch,
                             2010

•    Largest Community Question Answering
     Site with more than 1B answers (
     http://bit.ly/am1LwL )

•    4th most popular property on yahoo
     network

•    3.5 answers/question, 11 minutes to first
     answer on an average.

•    Community Moderated, no editorial
     control.

•    Supports 12 langs.


•    Model:
       –   Content-driven (different from Quora , which
           is social-driven)
       –   Subjective quality model (different from
           WikiAnswers or StackOverflow)
             •   By default broadcast questions to *all* potential
                 users
             •   Asker picks best answer (subjectivity rules):
                 “Quality in the eye of the asker” even if the
                 community disagrees
A veritable gold mine of data…

• User Interest Analysis
  – Seekers
  – Knowledge Experts



• Sentiment Analysis
FEW RESEARCH PROJECTS
Lets meet some Answerers
Lilly http://answers.yahoo.com/activity?show=OzaaPpm8aa
Jane http://answers.yahoo.com/activity?show=hFEx4VF7aa
Alice http://answers.yahoo.com/activity?show=SZRbSI3Uaa
• Problem: About 15% of incoming questions are
  unanswered

• Key observation: Recurrent questions are
  prevalent in many categories
  –   What are the symptoms of cervical cancer?
  –   How much weight Should I lose?
  –   How do you train your cat to use the litterbox?
  –   What is a black hole?


• Possible Solution: use past answered
  questions to automatically answer new
  questions.
Why is it difficult?
Title:                                            •   Non-informative, ambiguous title
   How often should i jump?
                                                  •   Complex information need
Body:
                                                  •   Detailed and personal
   I have a 6yo cob, and we've started
   jumping, he's done it before, we're only
   jumping around 1-1,8 foot. He isn't fat        •   Multiple questions posed in one
   and he's quite fit. I jumped him on
   Friday, but did just 3 small jumps, i did
   flatwork on Saturday, and jumped him 3         •   Grammatical errors, slang
   times today then hacked out, tomorrow,
   should i just flatwork him or would he be
   ok to jump a few small singles? Like 3? I      •    Non factual, rather opinion and
   won't ride him again until                         recommendation is expected
   Wednesday/Thursday to give him a
   break, what do you think? He is fine
   doing what he has done, he doesn't get         •   Extensive variability among
   sweaty much or tired, i myself am not              questions: in language style,
   ready to go any higher and would like to           cultural aspects, degree of detail
   just do maybe 1 or 2 jumps? Is he ok to
   jump tomorrow? If not when next? Thank
   you for the help! I appreciate it all! :) xx
Auto Answering System
Findings
  • Robots have been answering for about a week,
    saturating their daily answering quota.
  • Significant fraction of the answers have been
    chosen as Best Answer – much better than an
    average user




  • Their responses elicited discussions, and they
    acquired several fans
Learning from the Past: Answering New Questions with Past Answers”
    - Anna Shtok, Gideon Dror, Idan Szpektor and Yoelle Maarek
http://www2012.wwwconference.org/program/accepted-papers/main-scientific-tracks/
Get me a question that I can answer
• Users want to answer new questions
   – No social information on such questions (item cold-start)
   – This known scenario in recommendation systems is our typical case


• Many users are new
   – Hardly any answering history (user cold-start)
   – The majority of registered users


• Current solution: show most recent questions in the
  category

• Goal: a question recommendation model that fits all
  user types
   – Active users,
   – new users,
   – surfers
Question Recommender

   • Recommender system approach, (like for movie
     recommendation but in a much larger and very sparse
     space)




   • Learn from past interactions with users and push
     relevant open questions


I want to answer, who has a question? Yahoo! Answers Recommender System ”
    - G. Dror, Y. Koren, Y. Maarek and I. Szpektor, KDD’2011, San-Diego, CA
Sentiment Analysis
• Why do people ask questions on Answers?
  – Users more likely to register with Y!A to ask things
    they can‘t ask elsewhere (“conversational”,
    ”personal”)
  – When you can’t find what you are looking for on www


• Different (demographic) groups use it differently
  – Women ask more conversational questions
  – Older people ask more informational questions
  – Women are more sentimental when answering a
    question than men.
  – In terms of attitude, men are more neutral, whereas
    women have more positive attitude in their answers
Credits:
Giovanni Gardelli, Ingmar Weber, Antti Ukkonen, B. Barla Cambazoglu – Y! Research Barcelona
Onur Kucuktunc, The Ohio State University, US
Hakan Ferhatosmanoglu, Bilkent University, Turkey
Some more…
• Relating answers activity to activities around
  the world.
  – Huge drop in science & math category in mid-
    December every year. This category is heavily used
    for homework help -- effect of Christmas break?


• ~ 35 small and big hacks during the 2011 Y!
  hack day event @ blr.
  – Android/iOS apps.
     • Location awareness.
  – Promote relevant Q&A on content pages.
  – Answers on other channels : Messgener, SMS etc.
  – Custom UI themes
Enablers
• Answers Data on the Grid

• Answers Api’s
  – V1 : http://developer.yahoo.com/answers/
     • Provides only read capability.
  – V2 (internal beta)
     • Offers full fledged capabilities – Read & Write.
     • Preview available for this HackU event.
Credits
• Yahoo Research Labs – Haifa, Israel.


     Gideon Dror, Yehuda Koren, Yoelle Maarek, Dan Pelleg, Idan Szpektor, Oleg Rokhlenko




• Yahoo! Research Labs, Barcelona
        Giovanni Gardelli, Ingmar Weber, Antti Ukkonen, B. Barla Cambazoglu




• Yahoo! Answers Engineering, Bangalore

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Yahoo answers

  • 1. Yahoo! Answers Siju Varghese Engineer, Yahoo! Answers IIT Chennai, Mar’12
  • 2. Yahoo! Answers - background Community Question Answering (CQA) “Just because Google exists does not mean you Home > All Categories > Arts & Humanities > Philosophy should stop asking things”, A. Totsis, TechCrunch, 2010 • Largest Community Question Answering Site with more than 1B answers ( http://bit.ly/am1LwL ) • 4th most popular property on yahoo network • 3.5 answers/question, 11 minutes to first answer on an average. • Community Moderated, no editorial control. • Supports 12 langs. • Model: – Content-driven (different from Quora , which is social-driven) – Subjective quality model (different from WikiAnswers or StackOverflow) • By default broadcast questions to *all* potential users • Asker picks best answer (subjectivity rules): “Quality in the eye of the asker” even if the community disagrees
  • 3. A veritable gold mine of data… • User Interest Analysis – Seekers – Knowledge Experts • Sentiment Analysis
  • 5. Lets meet some Answerers
  • 9. • Problem: About 15% of incoming questions are unanswered • Key observation: Recurrent questions are prevalent in many categories – What are the symptoms of cervical cancer? – How much weight Should I lose? – How do you train your cat to use the litterbox? – What is a black hole? • Possible Solution: use past answered questions to automatically answer new questions.
  • 10. Why is it difficult? Title: • Non-informative, ambiguous title How often should i jump? • Complex information need Body: • Detailed and personal I have a 6yo cob, and we've started jumping, he's done it before, we're only jumping around 1-1,8 foot. He isn't fat • Multiple questions posed in one and he's quite fit. I jumped him on Friday, but did just 3 small jumps, i did flatwork on Saturday, and jumped him 3 • Grammatical errors, slang times today then hacked out, tomorrow, should i just flatwork him or would he be ok to jump a few small singles? Like 3? I • Non factual, rather opinion and won't ride him again until recommendation is expected Wednesday/Thursday to give him a break, what do you think? He is fine doing what he has done, he doesn't get • Extensive variability among sweaty much or tired, i myself am not questions: in language style, ready to go any higher and would like to cultural aspects, degree of detail just do maybe 1 or 2 jumps? Is he ok to jump tomorrow? If not when next? Thank you for the help! I appreciate it all! :) xx
  • 12. Findings • Robots have been answering for about a week, saturating their daily answering quota. • Significant fraction of the answers have been chosen as Best Answer – much better than an average user • Their responses elicited discussions, and they acquired several fans Learning from the Past: Answering New Questions with Past Answers” - Anna Shtok, Gideon Dror, Idan Szpektor and Yoelle Maarek http://www2012.wwwconference.org/program/accepted-papers/main-scientific-tracks/
  • 13. Get me a question that I can answer
  • 14. • Users want to answer new questions – No social information on such questions (item cold-start) – This known scenario in recommendation systems is our typical case • Many users are new – Hardly any answering history (user cold-start) – The majority of registered users • Current solution: show most recent questions in the category • Goal: a question recommendation model that fits all user types – Active users, – new users, – surfers
  • 15. Question Recommender • Recommender system approach, (like for movie recommendation but in a much larger and very sparse space) • Learn from past interactions with users and push relevant open questions I want to answer, who has a question? Yahoo! Answers Recommender System ” - G. Dror, Y. Koren, Y. Maarek and I. Szpektor, KDD’2011, San-Diego, CA
  • 17. • Why do people ask questions on Answers? – Users more likely to register with Y!A to ask things they can‘t ask elsewhere (“conversational”, ”personal”) – When you can’t find what you are looking for on www • Different (demographic) groups use it differently – Women ask more conversational questions – Older people ask more informational questions – Women are more sentimental when answering a question than men. – In terms of attitude, men are more neutral, whereas women have more positive attitude in their answers
  • 18. Credits: Giovanni Gardelli, Ingmar Weber, Antti Ukkonen, B. Barla Cambazoglu – Y! Research Barcelona Onur Kucuktunc, The Ohio State University, US Hakan Ferhatosmanoglu, Bilkent University, Turkey
  • 19. Some more… • Relating answers activity to activities around the world. – Huge drop in science & math category in mid- December every year. This category is heavily used for homework help -- effect of Christmas break? • ~ 35 small and big hacks during the 2011 Y! hack day event @ blr. – Android/iOS apps. • Location awareness. – Promote relevant Q&A on content pages. – Answers on other channels : Messgener, SMS etc. – Custom UI themes
  • 21. • Answers Data on the Grid • Answers Api’s – V1 : http://developer.yahoo.com/answers/ • Provides only read capability. – V2 (internal beta) • Offers full fledged capabilities – Read & Write. • Preview available for this HackU event.
  • 23. • Yahoo Research Labs – Haifa, Israel. Gideon Dror, Yehuda Koren, Yoelle Maarek, Dan Pelleg, Idan Szpektor, Oleg Rokhlenko • Yahoo! Research Labs, Barcelona Giovanni Gardelli, Ingmar Weber, Antti Ukkonen, B. Barla Cambazoglu • Yahoo! Answers Engineering, Bangalore

Editor's Notes

  1. Y! A still the largest community question answering site with 1B answers – less “fashionable” maybe than newcomers like Quora or less specialized than StackOverflow but does achieve its goal which is to satisfy askers whatever their intent is – side effect perceived “poor quality” – our approach since the quality is in the eye of the asker – simply don’t show to potential askers questions that don’t resonate with him – each set of questions has its own community – and quality is totally subjective Yahoo gets ~ 600 mil uu per month 117 billion per month views