Making large-scale support vector machine learning practical
Advances in kernel methods
Results and challenges in Web search evaluation
WWW '99 Proceedings of the eighth international conference on World Wide Web
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Machine Learning
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Hourly analysis of a very large topically categorized web query log
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Click data as implicit relevance feedback in web search
Information Processing and Management: an International Journal
Investigating behavioral variability in web search
Proceedings of the 16th international conference on World Wide Web
How well does result relevance predict session satisfaction?
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
How does clickthrough data reflect retrieval quality?
Proceedings of the 17th ACM conference on Information and knowledge management
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Expected reciprocal rank for graded relevance
Proceedings of the 18th ACM conference on Information and knowledge management
Introduction to Semi-Supervised Learning
Introduction to Semi-Supervised Learning
Beyond DCG: user behavior as a predictor of a successful search
Proceedings of the third ACM international conference on Web search and data mining
How does search behavior change as search becomes more difficult?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting searcher frustration
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Assessing the scenic route: measuring the value of search trails in web logs
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Find it if you can: a game for modeling different types of web search success using interaction data
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Proceedings of the 20th ACM international conference on Information and knowledge management
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning to recognize patterns without a teacher
IEEE Transactions on Information Theory
Learning with a probabilistic teacher
IEEE Transactions on Information Theory
Playing by the rules: mining query associations to predict search performance
Proceedings of the sixth ACM international conference on Web search and data mining
Search engine switching detection based on user personal preferences and behavior patterns
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Enhancing personalized search by mining and modeling task behavior
Proceedings of the 22nd international conference on World Wide Web
Personalized models of search satisfaction
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Beyond clicks: query reformulation as a predictor of search satisfaction
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Mining search and browse logs for web search: A Survey
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Modeling dwell time to predict click-level satisfaction
Proceedings of the 7th ACM international conference on Web search and data mining
Struggling or exploring?: disambiguating long search sessions
Proceedings of the 7th ACM international conference on Web search and data mining
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Web search is an interactive process that involves actions from Web search users and responses from the search engine. Many research efforts have been made to address the problem of understanding search behavior in general. Some of this work focused on predicting whether a particular user has succeeded in achieving her search goal or not. Most of these studies have faced the problem of the lack of reliable labeled data to learn from. Unlike labeled data, unlabeled data recording behavioral signals in Web search is widely available in search logs. In this work, we study the plausibility of using labeled and unlabeled data to learn better models of user behavior that can be used to predict search success more effectively. We present a semi-supervised approach to modeling Web search satisfaction. The proposed approach can use either labeled data only or both labeled and unlabeled data. We show that the proposed model outperforms previous methods for modeling search success using labeled data. We also show that adding unlabeled data improves the effectiveness of the proposed models and that the proposed method outperforms other strong semi-supervised baselines.