Automatic text processing
Optimum polynomial retrieval functions based on the probability ranking principle
ACM Transactions on Information Systems (TOIS)
Inference networks for document retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Journal of the American Society for Information Science
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
An efficient boosting algorithm for combining preferences
The Journal of Machine Learning Research
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Query chains: learning to rank from implicit feedback
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Statistical machine learning for information retrieval
Statistical machine learning for information retrieval
Learning to rank using gradient descent
ICML '05 Proceedings of the 22nd international conference on Machine learning
Proceedings of the 15th international conference on World Wide Web
A risk minimization framework for information retrieval
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Incorporating query difference for learning retrieval functions in world wide web search
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Subset ranking using regression
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Finding the right facts in the crowd: factoid question answering over social media
Proceedings of the 17th international conference on World Wide Web
Learning to rank with partially-labeled data
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A few bad votes too many?: towards robust ranking in social media
AIRWeb '08 Proceedings of the 4th international workshop on Adversarial information retrieval on the web
Are click-through data adequate for learning web search rankings?
Proceedings of the 17th ACM conference on Information and knowledge management
Trada: tree based ranking function adaptation
Proceedings of the 17th ACM conference on Information and knowledge management
Learning to recognize reliable users and content in social media with coupled mutual reinforcement
Proceedings of the 18th international conference on World wide web
Global ranking by exploiting user clicks
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Comparing both relevance and robustness in selection of web ranking functions
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Enhancing topical ranking with preferences from click-through data
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Search result re-ranking by feedback control adjustment for time-sensitive query
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Adaptive relevance feedback in information retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
A risk minimization framework for domain adaptation
Proceedings of the 18th ACM conference on Information and knowledge management
Multi-task learning for learning to rank in web search
Proceedings of the 18th ACM conference on Information and knowledge management
On domain similarity and effectiveness of adapting-to-rank
Proceedings of the 18th ACM conference on Information and knowledge management
Learning to rank graphs for online similar graph search
Proceedings of the 18th ACM conference on Information and knowledge management
Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions
Proceedings of the 18th ACM conference on Information and knowledge management
Incorporating robustness into web ranking evaluation
Proceedings of the 18th ACM conference on Information and knowledge management
Stochastic gradient boosted distributed decision trees
Proceedings of the 18th ACM conference on Information and knowledge management
Preference learning with extreme examples
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Mining search engine clickthrough log for matching N-gram features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Ranking with query-dependent loss for web search
Proceedings of the third ACM international conference on Web search and data mining
IntervalRank: isotonic regression with listwise and pairwise constraints
Proceedings of the third ACM international conference on Web search and data mining
A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine
Proceedings of the third ACM international conference on Web search and data mining
A3CRank: An adaptive ranking method based on connectivity, content and click-through data
Information Processing and Management: an International Journal
Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM
Proceedings of the 19th international conference on World wide web
Time is of the essence: improving recency ranking using Twitter data
Proceedings of the 19th international conference on World wide web
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Vertical selection in the presence of unlabeled verticals
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Temporal query log profiling to improve web search ranking
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
User behavior driven ranking without editorial judgments
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Optimizing unified loss for web ranking specialization
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Select-the-Best-Ones: A new way to judge relative relevance
Information Processing and Management: an International Journal
Resolving surface forms to Wikipedia topics
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Prediction of favourite photos using social, visual, and textual signals
Proceedings of the international conference on Multimedia
Proceedings of the fourth ACM international conference on Web search and data mining
Learning to re-rank web search results with multiple pairwise features
Proceedings of the fourth ACM international conference on Web search and data mining
Cross-market model adaptation with pairwise preference data for web search ranking
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A boosting approach to improving pseudo-relevance feedback
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
User reputation in a comment rating environment
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Ranking function adaptation with boosting trees
ACM Transactions on Information Systems (TOIS)
Search behavior-driven training for result re-ranking
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
Proceedings of the 20th ACM international conference on Information and knowledge management
Multi-task learning to rank for web search
Pattern Recognition Letters
Leveraging Auxiliary Data for Learning to Rank
ACM Transactions on Intelligent Systems and Technology (TIST)
A two-stage decision model for information filtering
Decision Support Systems
Pairwise cross-domain factor model for heterogeneous transfer ranking
Proceedings of the fifth ACM international conference on Web search and data mining
Joint relevance and freshness learning from clickthroughs for news search
Proceedings of the 21st international conference on World Wide Web
A multimedia retrieval framework based on automatic graded relevance judgments
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Collaborative ranking: improving the relevance for tail queries
Proceedings of the 21st ACM international conference on Information and knowledge management
Improving recency ranking using twitter data
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
A social network-empowered research analytics framework for project selection
Decision Support Systems
Predicting community preference of comments on the Social Web
Web Intelligence and Agent Systems
Feature identification for topical relevance assessment in feed search engines
Intelligent Data Analysis
Entity ranking using click-log information
Intelligent Data Analysis
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Effective ranking functions are an essential part of commercial search engines. We focus on developing a regression framework for learning ranking functions for improving relevance of search engines serving diverse streams of user queries. We explore supervised learning methodology from machine learning, and we distinguish two types of relevance judgments used as the training data: 1) absolute relevance judgments arising from explicit labeling of search results; and 2) relative relevance judgments extracted from user click throughs of search results or converted from the absolute relevance judgments. We propose a novel optimization framework emphasizing the use of relative relevance judgments. The main contribution is the development of an algorithm based on regression that can be applied to objective functions involving preference data, i.e., data indicating that a document is more relevant than another with respect to a query. Experimental results are carried out using data sets obtained from a commercial search engine. Our results show significant improvements of our proposed methods over some existing methods.