The nature of statistical learning theory
The nature of statistical learning theory
Combining multiple evidence from different properties of weighting schemes
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Training algorithms for linear text classifiers
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Matrix computations (3rd ed.)
Experience with personalization of Yahoo!
Communications of the ACM
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
The Effects of Singular Value Decomposition on Collaborative Filtering
The Effects of Singular Value Decomposition on Collaborative Filtering
SVDPACKC (Version 1.0) User''s Guide
SVDPACKC (Version 1.0) User''s Guide
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
"I know what you did last summer": query logs and user privacy
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Data mining and audience intelligence for advertising
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Applying link-based classification to label blogs
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Behavioural Targeting in On-Line Advertising: An Empirical Study
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
Contextual in-image advertising
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Effective Prediction of Web User Behaviour with User-Level Models
Fundamenta Informaticae
A fuzzy clustering method of construction of ontology-based user profiles
Advances in Engineering Software
Applying Link-Based Classification to Label Blogs
Advances in Web Mining and Web Usage Analysis
Report on the second KDD workshop on data mining for advertising
ACM SIGKDD Explorations Newsletter
The dynamics of personal territories on the web
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Knowledge Acquisition: Approaches, Algorithms and Applications
The dynamics of personal territories on the web
ACM SIGWEB Newsletter
Location and time do matter: A long tail study of website requests
Decision Support Systems
Are your friends who they say they are?: data mining online identities
Crossroads - The Social Web
PageSense: style-wise web page advertising
Proceedings of the 19th international conference on World wide web
GameSense: game-like in-image advertising
Multimedia Tools and Applications
The demographics of web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Inferring gender of movie reviewers: exploiting writing style, content and metadata
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Who uses web search for what: and how
Proceedings of the fourth ACM international conference on Web search and data mining
Topic-based user segmentation for online advertising with latent dirichlet allocation
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Contextual Video Recommendation by Multimodal Relevance and User Feedback
ACM Transactions on Information Systems (TOIS)
All liaisons are dangerous when all your friends are known to us
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Behavior based web page evaluation
Journal of Web Engineering
ImageSense: Towards contextual image advertising
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
More than modelling and hiding: towards a comprehensive view of Web mining and privacy
Data Mining and Knowledge Discovery
Linking visual concept detection with viewer demographics
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Urban point-of-interest recommendation by mining user check-in behaviors
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Effective Prediction of Web User Behaviour with User-Level Models
Fundamenta Informaticae
Inferring personal traits from music listening history
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Inferring the demographics of search users: social data meets search queries
Proceedings of the 22nd international conference on World Wide Web
Measuring personalization of web search
Proceedings of the 22nd international conference on World Wide Web
Aggregating Personal Health Messages for Scalable Comparative Effectiveness Research
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
User demographics prediction based on mobile data
Pervasive and Mobile Computing
A Scalable Distributed Framework for Efficient Analytics on Ordered Datasets
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Demographic information plays an important role in personalized web applications. However, it is usually not easy to obtain this kind of personal data such as age and gender. In this paper, we made a first approach to predict users' gender and age from their Web browsing behaviors, in which the Webpage view information is treated as a hidden variable to propagate demographic information between different users. There are three main steps in our approach: First, learning from the Webpage click-though data, Webpages are associated with users' (known) age and gender tendency through a discriminative model; Second, users' (unknown) age and gender are predicted from the demographic information of the associated Webpages through a Bayesian framework; Third, based on the fact that Webpages visited by similar users may be associated with similar demographic tendency, and users with similar demographic information would visit similar Webpages, a smoothing component is employed to overcome the data sparseness of web click-though log. Experiments are conducted on a real web click-through log to demonstrate the effectiveness of the proposed approach. The experimental results show that the proposed algorithm can achieve up to 30.4% improvements on gender prediction and 50.3% on age prediction in terms of macro F1, compared to baseline algorithms.