San Francisco Chapter of the American
Statistical Association October Seminar
Speaker: |
Wenqing Lu, Senior Director, Analytics
Department, Orbitz |
Time: |
October 23, 2014 4:30-6:00pm
(4:30-5:00pm networking/refreshment; 5-6pm seminar) |
Location: |
San
Jose State University (SJSU). Room 202 of the Boccardo
Business Complex (BBC) |
Title: |
Methods
to Improve Online Search Efficiency |
Abstract:
Online search generally follows power law and shows
a long tail distribution. With powerful search engine consumers are very
specific when searching for their products. Thus the long tail cannot be
ignored and in fact largely determines the success of online marketing
campaigns. I will look at the long tail problem at Orbitz
and how we developed the Bayesian approach and ensemble model to tackle
the problem. These methods have advantage over the typical clustering of
tail method and can be easily applied to search engine marketing (SEM) and
other long tail problems.
Customer review text contains valuable information
that can be used for many purposes. However, it is unstructured data and hard
to deal with. With recent development of text mining tools we can effectively
turn the unstructured customer review into numerical variables. The new
variables can be added to the predictive models along with structured data and
significantly improve the model efficiency. I will show how to
improve predictive models and gain 40% in online marketing efficiency through
text mining hotel reviews at Orbitz Worldwide.
Information
for room 202 of the Boccardo Business Complex:
Driving
directions to SJSU can be found at http://www.sjsu.edu/map/directions/.
The seminar will take place in room 202 of the Boccardo
Business Complex, designated as BBC and located in grid C4 of the campus map
at http://www.sjsu.edu/map/.
Attendees driving to the meeting would likely park in either the North Parking
Garage (map grid A4) or the South Parking Garage (map grid D2). One
day or partial day parking permits are available inside the parking
garages. Park and then look for the blue and yellow permit machines as
shown at http://www.sjsu.edu/parking/permits/. Buses
and the VTA light rail all have stops near campus. There is also a
shuttle from the local CalTain station directly to
SJSU (http://www.vta.org/routes/rt201).