OHSUMED: an interactive retrieval evaluation and new large test collection for research
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
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
Document language models, query models, and risk minimization for information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Boosting Methods for Regression
Machine Learning
Boosting the margin: A new explanation for the effectiveness of voting methods
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
An efficient boosting algorithm for combining preferences
The Journal of Machine Learning Research
Discriminative models for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Exploiting the hierarchical structure for link analysis
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A study of relevance propagation for web search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
SVM selective sampling for ranking with application to data retrieval
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Learning to rank using gradient descent
ICML '05 Proceedings of the 22nd international conference on Machine learning
A support vector method for multivariate performance measures
ICML '05 Proceedings of the 22nd international conference on Machine learning
Adapting ranking SVM to document retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Cost-Sensitive learning of SVM for ranking
ECML'06 Proceedings of the 17th European conference on Machine Learning
Subset ranking using regression
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Ranking refinement and its application to information retrieval
Proceedings of the 17th international conference on World Wide Web
Learning to rank relational objects and its application to web search
Proceedings of the 17th international conference on World Wide Web
Listwise approach to learning to rank: theory and algorithm
Proceedings of the 25th international conference on Machine learning
Directly optimizing evaluation measures in learning to rank
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Query dependent ranking using K-nearest neighbor
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Learning to rank with partially-labeled data
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Learning to rank at query-time using association rules
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
Spectral geometry for simultaneously clustering and ranking query search results
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Boosting over Groups and Its Application to Acronym-Expansion Extraction
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
A Neural Network Approach for Learning Object Ranking
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Ranked feature fusion models for ad hoc retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
AdaSum: an adaptive model for summarization
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
Personalized ranking for digital libraries based on log analysis
Proceedings of the 10th ACM workshop on Web information and data management
Recommendation Based Process Modeling Support: Method and User Experience
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Proceedings of the 18th international conference on World wide web
Semi-supervised document retrieval
Information Processing and Management: an International Journal
A Simple Linear Ranking Algorithm Using Query Dependent Intercept Variables
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
RV-SVM: An Efficient Method for Learning Ranking SVM
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Ranking with ordered weighted pairwise classification
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
BoltzRank: learning to maximize expected ranking gain
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Beyond log-linear models: boosted minimum error rate training for N-best Re-ranking
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Robust sparse rank learning for non-smooth ranking measures
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
On the local optimality of LambdaRank
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Learning to Rank for Information Retrieval
Foundations and Trends in Information Retrieval
Semi-supervised ensemble ranking
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
OrdRank: Learning to Rank with Ordered Multiple Hyperplanes
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Ranking model adaptation for domain-specific search
Proceedings of the 18th ACM conference on Information and knowledge management
A general magnitude-preserving boosting algorithm for search ranking
Proceedings of the 18th ACM conference on Information and knowledge management
Learning to rank from Bayesian decision inference
Proceedings of the 18th ACM conference on Information and knowledge management
Heterogeneous cross domain ranking in latent space
Proceedings of the 18th ACM conference on Information and knowledge management
Efficient feature weighting methods for ranking
Proceedings of the 18th ACM conference on Information and knowledge management
Feature selection for ranking using boosted trees
Proceedings of the 18th ACM conference on Information and knowledge management
Automatic query generation for patent search
Proceedings of the 18th ACM conference on Information and knowledge management
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Proceedings of the third international workshop on Data and text mining in bioinformatics
A Computer-Aided Diagnosis System of Nuclear Cataract via Ranking
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Improving Text Rankers by Term Locality Contexts
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Adaptive Learning for Multimodal Fusion in Video Search
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
IntervalRank: isotonic regression with listwise and pairwise constraints
Proceedings of the third ACM international conference on Web search and data mining
Improving quality of training data for learning to rank using click-through data
Proceedings of the third ACM international conference on Web search and data mining
Multigraph-based query-independent learning for video search
IEEE Transactions on Circuits and Systems for Video Technology
Semi-supervised graph-ranking for text retrieval
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
An immune programming-based ranking function discovery approach for effective information retrieval
Expert Systems with Applications: An International Journal
On the choice of effectiveness measures for learning to rank
Information Retrieval
Gradient descent optimization of smoothed information retrieval metrics
Information Retrieval
Adapting boosting for information retrieval measures
Information Retrieval
Knowledge transfer for cross domain learning to rank
Information Retrieval
Multilabel classification with meta-level features
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Extending average precision to graded relevance judgments
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Learning to rank query reformulations
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A ranking approach to target detection for automatic link generation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Combined regression and ranking
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
LETOR: A benchmark collection for research on learning to rank for information retrieval
Information Retrieval
RankSVR: can preference data help regression?
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Temporal query log profiling to improve web search ranking
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Semi-supervised ranking for document retrieval
Computer Speech and Language
Ranking from pairs and triplets: information quality, evaluation methods and query complexity
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
Selective sampling techniques for feedback-based data retrieval
Data Mining and Knowledge Discovery
Learning to rank with document ranks and scores
Knowledge-Based Systems
A stochastic learning-to-rank algorithm and its application to contextual advertising
Proceedings of the 20th international conference on World wide web
Calibrated lazy associative classification
Information Sciences: an International Journal
Time-weighted web authoritative ranking
Information Retrieval
Learning to rank for why-question answering
Information Retrieval
Learning models for ranking aggregates
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Weight-based boosting model for cross-domain relevance ranking adaptation
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Bagging gradient-boosted trees for high precision, low variance ranking models
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A cascade ranking model for efficient ranked retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A boosting approach to improving pseudo-relevance feedback
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Pseudo test collections for learning web search ranking functions
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Parallel learning to rank for information retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Learning a Robust Relevance Model for Search Using Kernel Methods
The Journal of Machine Learning Research
A robust ranking methodology based on diverse calibration of AdaBoost
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Learning multiple metrics for ranking
Frontiers of Computer Science in China
Ranking function adaptation with boosting trees
ACM Transactions on Information Systems (TOIS)
Tag recommendation for georeferenced photos
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks
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)
ClickRank: Learning Session-Context Models to Enrich Web Search Ranking
ACM Transactions on the Web (TWEB)
Pairwise cross-domain factor model for heterogeneous transfer ranking
Proceedings of the fifth ACM international conference on Web search and data mining
Proceedings of the fifth ACM international conference on Web search and data mining
Learning to select a ranking function
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Maximum margin ranking algorithms for information retrieval
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Cost-Sensitive listwise ranking approach
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Flexible sample selection strategies for transfer learning in ranking
Information Processing and Management: an International Journal
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Effective heterogeneous similarity measure with nearest neighbors for cross-media retrieval
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Query-dependent rank aggregation with local models
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Score transformation in linear combination for multi-criteria relevance ranking
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
An efficient method for learning nonlinear ranking SVM functions
Information Sciences: an International Journal
A Learning to Rank framework applied to text-image retrieval
Multimedia Tools and Applications
TFMAP: optimizing MAP for top-n context-aware recommendation
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Top-k learning to rank: labeling, ranking and evaluation
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Learning to rank for robust question answering
Proceedings of the 21st ACM international conference on Information and knowledge management
Learning to rank duplicate bug reports
Proceedings of the 21st ACM international conference on Information and knowledge management
An adaptive learning to rank algorithm: Learning automata approach
Decision Support Systems
Extractive speech summarization using evaluation metric-related training criteria
Information Processing and Management: an International Journal
Mining contextual preference rules for building user profiles
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Learning conditional preference network from noisy samples using hypothesis testing
Knowledge-Based Systems
A multi-stage learning framework for intelligent system
Expert Systems with Applications: An International Journal
Modeling reformulation using query distributions
ACM Transactions on Information Systems (TOIS)
Mining large streams of user data for personalized recommendations
ACM SIGKDD Explorations Newsletter
Toward self-correcting search engines: using underperforming queries to improve search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Direct optimization of ranking measures for learning to rank models
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
MLRank: Multi-correlation Learning to Rank for image annotation
Pattern Recognition
Learning to rank biological motion trajectories
Image and Vision Computing
About learning models with multiple query-dependent features
ACM Transactions on Information Systems (TOIS)
Efficient gradient descent algorithm for sparse models with application in learning-to-rank
Knowledge-Based Systems
GAPfm: optimal top-n recommendations for graded relevance domains
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Is top-k sufficient for ranking?
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Improving passage ranking with user behavior information
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Feature engineering and tree modeling for author-paper identification challenge
Proceedings of the 2013 KDD Cup 2013 Workshop
The whens and hows of learning to rank for web search
Information Retrieval
Pairwise meta-rules for better meta-learning-based algorithm ranking
Machine Learning
Learning bilinear model for matching queries and documents
The Journal of Machine Learning Research
Proceedings of the 23rd international conference on World wide web
Entity ranking using click-log information
Intelligent Data Analysis
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In this paper we address the issue of learning to rank for document retrieval. In the task, a model is automatically created with some training data and then is utilized for ranking of documents. The goodness of a model is usually evaluated with performance measures such as MAP (Mean Average Precision) and NDCG (Normalized Discounted Cumulative Gain). Ideally a learning algorithm would train a ranking model that could directly optimize the performance measures with respect to the training data. Existing methods, however, are only able to train ranking models by minimizing loss functions loosely related to the performance measures. For example, Ranking SVM and RankBoost train ranking models by minimizing classification errors on instance pairs. To deal with the problem, we propose a novel learning algorithm within the framework of boosting, which can minimize a loss function directly defined on the performance measures. Our algorithm, referred to as AdaRank, repeatedly constructs 'weak rankers' on the basis of reweighted training data and finally linearly combines the weak rankers for making ranking predictions. We prove that the training process of AdaRank is exactly that of enhancing the performance measure used. Experimental results on four benchmark datasets show that AdaRank significantly outperforms the baseline methods of BM25, Ranking SVM, and RankBoost.