4. Geo
âą Increasing place coverage
âą Increasing language coverage
âą Places provision though
crowdsourcing
5. Detecting Peer to Peer Insults
âą Comments many times goes personal and
insulting in debates or discussion. For eg :-
discussion on any comment made by some
political leader.
âą We want to identify comments that is intended to
insult other participant in discussion.
âą We donât want to profane on comments made on
topic in discussion
6. Recommendation Challenges in WebMedia
âą Traditional Content based recommendation and
Collaborative filtering has higher rate of false
positives.
âą Recommendation based on social signals is also
not efficient and there is high probability
different likings between friends.
âą Cold Start Problem:- How to recommend user
who is new to system
7. Comment Text Relevance
âą How do we find comments/posts that are
relevant to the article?
âą Can we rank all comments wrt relevance
âą If not, can we atleast find the least relevant
comments, and use that signal to bump down a
comment that is otherwise of good quality?
âą Can we find highly relevant comments, even if
they are very short?
8. Flickr Challenges
âą In a photo stream how to choose what next
photo should be shown user to keep him
engaged.
âą Creating implicit following graph in flickr based
on clicks on a user photo by someone