I am very happy that our paper “Language Intent Models for Inferring User Browsing Behavior” by Manos Tsagkias, and Roi Blanco has been accepted at SIGIR 2013, which will be held in Portland, Oregon, 12–16 August 2012. The paper was realized during my three-month internship at Yahoo! Research Barcelona during September–December 2011. The abstract follows:
Modeling user browsing behavior is an active research area with
tangible real-world applications, e.g., organizations can adapt
their online presence to their visitors browsing behavior with
positive effects in user engagement, and revenue. We concentrate on
online news agents, and present a semi-supervised method for
predicting news articles that a user will visit after reading an
initial article. Our method tackles the problem using language
intent models trained on historical data which can cope
with unseen articles. We evaluate our method on a large set of
articles and in several experimental settings. Our results
demonstrate the utility of language intent models for predicting
user browsing behavior within online news sites.
