Joint Seminar: Center for Web Research
- Yahoo! Research LA
When: Thursday 8, 12:00
Where: Auditorium 4th floor, DCC, FCFM,
Univ. de Chile
Title: Predictive User Caches
Speaker: Benjamin Piwowarski, Yahoo! Research
LA
Abstract:
Web search engines consistently collect information about
users interaction with the system. They record the issued
query, the URL of presented and selected documents along
with their ranking. This information is very valuable: It
is a poll over millions of users on the most various topics
and it has been used in many ways to mine users interests
and preferences. Query logs have the potential to partially
alleviate the search engines from thousand of searches by
providing a way to predict answers for a subset of queries
and users without knowing the content of a document. Even
if the predicted result is at rank one, this analysis might
be of interest: If there is enough confidence on a user's
click, we might redirect the user directly to the page whose
link would be clicked. We present some early results with
three predictive models based respectively on information
of one user, a group of user and all the users for a given
query. |
