Title
Scalable distributed inference of dynamic user interests for behavioral targeting
Abstract
Historical user activity is key for building user profiles to predict the user behavior and affinities in many web applications such as targeting of online advertising, content personalization and social recommendations. User profiles are temporal, and changes in a user's activity patterns are particularly useful for improved prediction and recommendation. For instance, an increased interest in car-related web pages may well suggest that the user might be shopping for a new vehicle.In this paper we present a comprehensive statistical framework for user profiling based on topic models which is able to capture such effects in a fully \emph{unsupervised} fashion. Our method models topical interests of a user dynamically where both the user association with the topics and the topics themselves are allowed to vary over time, thus ensuring that the profiles remain current. We describe a streaming, distributed inference algorithm which is able to handle tens of millions of users. Our results show that our model contributes towards improved behavioral targeting of display advertising relative to baseline models that do not incorporate topical and/or temporal dependencies. As a side-effect our model yields human-understandable results which can be used in an intuitive fashion by advertisers.
Year
DOI
Venue
2011
10.1145/2020408.2020433
KDD
Keywords
Field
DocType
activity pattern,method models topical interest,user profile,dynamic user interest,car-related web page,user dynamically,user behavior,historical user activity,display advertising,baseline model,user association,side effect,online advertising,web pages,user modeling,user model
Data mining,Web page,Behavioral targeting,Display advertising,Computer science,Online advertising,Unique user,User modeling,Topic model,Personalization
Conference
Citations 
PageRank 
References 
93
3.62
24
Authors
5
Name
Order
Citations
PageRank
Amr Ahmed1174392.13
Yucheng Low2107839.38
Mohamed Aly31396.47
Vanja Josifovski42265148.84
Alexander J. Smola5196271967.09