SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
A sequential algorithm for training text classifiers
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st 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
Model-based feedback in the language modeling approach to information retrieval
Proceedings of the tenth international conference on Information and knowledge management
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Less is More: Active Learning with Support Vector Machines
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Support Vector Machine Active Learning with Application sto Text Classification
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Employing EM and Pool-Based Active Learning for Text Classification
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
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Active learning: theory and applications
Active learning: theory and applications
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Active learning with statistical models
Journal of Artificial Intelligence Research
An active learning framework for content-based information retrieval
IEEE Transactions on Multimedia
Batch mode active learning and its application to medical image classification
ICML '06 Proceedings of the 23rd international conference on Machine learning
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Extracting redundancy-aware top-k patterns
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering interesting patterns through user's interactive feedback
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying "best bet" web search results by mining past user behavior
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Linear feature-based models for information retrieval
Information Retrieval
Term feedback for information retrieval with language models
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Expertise drift and query expansion in expert search
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A bayesian logistic regression model for active relevance feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Capturing User Interests by Both Exploitation and Exploration
UM '07 Proceedings of the 11th international conference on User Modeling
Adapting information retrieval systems to user queries
Information Processing and Management: an International Journal
Active relevance feedback for difficult queries
Proceedings of the 17th ACM conference on Information and knowledge management
Semi-supervised document retrieval
Information Processing and Management: an International Journal
Redundancy, diversity and interdependent document relevance
ACM SIGIR Forum
Incorporating diversity and density in active learning for relevance feedback
ECIR'07 Proceedings of the 29th European conference on IR research
Query expansion using a collection dependent probabilistic latent semantic thesaurus
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Using term relation in context sensitive information retrieval
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Interactive retrieval based on faceted feedback
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
On identifying representative relevant documents
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Exploration-exploitation tradeoff in interactive relevance feedback
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Using text classification method in relevance feedback
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Proceedings of the fourth ACM international conference on Web search and data mining
Relevant knowledge helps in choosing right teacher: active query selection for ranking adaptation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
On bias problem in relevance feedback
Proceedings of the 20th ACM international conference on Information and knowledge management
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
Statistical behavior analysis of smoothing methods for language models of mandarin data sets
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Intelligent Social Media Indexing and Sharing Using an Adaptive Indexing Search Engine
ACM Transactions on Intelligent Systems and Technology (TIST)
EGAL: exploration guided active learning for TCBR
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Utilizing local evidence for blog feed search
Information Retrieval
A split-list approach for relevance feedback in information retrieval
Information Processing and Management: an International Journal
Interactive exploratory search for multi page search results
Proceedings of the 22nd international conference on World Wide Web
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Information retrieval is, in general, an iterative search process, in which the user often has several interactions with a retrieval system for an information need. The retrieval system can actively probe a user with questions to clarify the information need instead of just passively responding to user queries. A basic question is thus how a retrieval system should propose questions to the user so that it can obtain maximum benefits from the feedback on these questions. In this paper, we study how a retrieval system can perform active feedback, i.e., how to choose documents for relevance feedback so that the system can learn most from the feedback information. We present a general framework for such an active feedback problem, and derive several practical algorithms as special cases. Empirical evaluation of these algorithms shows that the performance of traditional relevance feedback (presenting the top K documents) is consistently worse than that of presenting documents with more diversity. With a diversity-based selection algorithm, we obtain fewer relevant documents, however, these fewer documents have more learning benefits.