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Numerical recipes in C (2nd ed.): the art of scientific computing
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Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The nature of statistical learning theory
The nature of statistical learning theory
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Making large-scale support vector machine learning practical
Advances in kernel methods
A hidden Markov model information retrieval system
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A general language model for information retrieval
Proceedings of the eighth international conference on Information and knowledge management
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
Two-stage language models for information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Capturing term dependencies using a language model based on sentence trees
Proceedings of the eleventh international conference on Information and knowledge management
An Efficient Boosting Algorithm for Combining Preferences
ICML '98 Proceedings of the Fifteenth 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
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Discriminative models for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Dependence language model for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Journal of Artificial Intelligence Research
Adapting ranking SVM to document retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A study of statistical models for query translation: finding a good unit of translation
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Less is more: probabilistic models for retrieving fewer relevant documents
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in 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
Optimisation methods for ranking functions with multiple parameters
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Linear feature-based models for information retrieval
Information Retrieval
Using query contexts in information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Natural language processing for information retrieval: the time is ripe (again)
Proceedings of the ACM first Ph.D. workshop in CIKM
Automatic feature selection in the markov random field model for information retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Extending query translation to cross-language query expansion with markov chain models
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Fast learning of document ranking functions with the committee perceptron
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Ranking refinement and its application to information retrieval
Proceedings of the 17th international conference on World Wide Web
Selecting good expansion terms for pseudo-relevance feedback
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
Discriminative probabilistic models for passage based retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
How to cope with questions typed by dyslexic users
Proceedings of the second workshop on Analytics for noisy unstructured text data
Adapting information retrieval to query contexts
Information Processing and Management: an International Journal
Suppressing outliers in pairwise preference ranking
Proceedings of the 17th ACM conference on Information and knowledge management
Semi-supervised document retrieval
Information Processing and Management: an International Journal
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Smoothing clickthrough data for web search ranking
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Two-stage query segmentation for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Semi-parametric and Non-parametric Term Weighting for Information Retrieval
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Minimum rank error language modeling
IEEE Transactions on Audio, Speech, and Language Processing
Context-sensitive semantic smoothing using semantically relatable sequences
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Optimizing two stage bigram language models for IR
Proceedings of the 19th international conference on World wide web
A statistical view of binned retrieval models
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Mixture model based contextual image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
Adapting boosting for information retrieval measures
Information Retrieval
Clickthrough-based translation models for web search: from word models to phrase models
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Using various term dependencies according to their utilities
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Using Markov chains to exploit word relationships in information retrieval
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Linking online news and social media
Proceedings of the fourth ACM international conference on Web search and data mining
Fractional similarity: cross-lingual feature selection for search
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Parameterized concept weighting in verbose queries
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Overview of the INEX 2010 question answering track (QA@INEX)
INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
A supervised learning approach to entity search
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Efficient margin-based rank learning algorithms for information retrieval
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Modeling higher-order term dependencies in information retrieval using query hypergraphs
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Translation model based cross-lingual language model adaptation: from word models to phrase models
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Learning lexicon models from search logs for query expansion
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
A math-aware search engine for math question answering system
Proceedings of the 21st ACM international conference on Information and knowledge management
Towards Concept-Based Translation Models Using Search Logs for Query Expansion
Proceedings of the 21st ACM international conference on Information and knowledge management
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This paper presents a new discriminative model for information retrieval (IR), referred to as linear discriminant model (LDM), which provides a flexible framework to incorporate arbitrary features. LDM is different from most existing models in that it takes into account a variety of linguistic features that are derived from the component models of HMM that is widely used in language modeling approaches to IR. Therefore, LDM is a means of melding discriminative and generative models for IR. We present two algorithms of parameter learning for LDM. One is to optimize the average precision (AP) directly using an iterative procedure. The other is a perceptron-based algorithm that minimizes the number of discordant document-pairs in a rank list. The effectiveness of our approach has been evaluated on the task of ad hoc retrieval using six English and Chinese TREC test sets. Results show that (1) in most test sets, LDM significantly outperforms the state-of-the-art language modeling approaches and the classical probabilistic retrieval model; (2) it is more appropriate to train LDM using a measure of AP rather than likelihood if the IR system is graded on AP; and (3) linguistic features (e.g. phrases and dependences) are effective for IR if they are incorporated properly.