Retrieval test evaluation of a rule based automatic indexing (AIR/PHYS)
Proc. of the third joint BCS and ACM symposium on Research and development in information retrieval
Approaches to intelligent information retrieval
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Linear structure in information retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Optimum probability estimation based on expectations
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
The automatic indexing system AIR/PHYS - from research to applications
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic and genetic algorithms in document retrieval
Communications of the ACM
Models for retrieval with probabilistic indexing
Information Processing and Management: an International Journal - Modeling data, information and knowledge
Two models of retrieval with probabilistic indexing
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
A decision theory approach to optimal automatic indexing
SIGIR '82 Proceedings of the 5th annual ACM conference on Research and development in information retrieval
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Probabilistic document indexing from relevance feedback data
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
ACM Transactions on Information Systems (TOIS)
Combining model-oriented and description-oriented approaches for probabilistic indexing
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
An object-oriented modeling of the history of optimal retrievals
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
A probabilistic learning approach for document indexing
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Probabilistic retrieval based on staged logistic regression
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic indexing based on Bayesian inference networks
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
ACM Transactions on Information Systems (TOIS)
Inferring probability of relevance using the method of logistic regression
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A network approach to probabilistic information retrieval
ACM Transactions on Information Systems (TOIS)
A comparison of classifiers and document representations for the routing problem
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Method combination for document filtering
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A theory of term weighting based on exploratory data analysis
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A decision-theoretic approach to database selection in networked IR
ACM Transactions on Information Systems (TOIS)
Exploring Versus Exploiting when Learning User Models for Text Recommendation
User Modeling and User-Adapted Interaction
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
ONTOLOGER: a system for usage-driven management of ontology-based information portals
Proceedings of the 2nd international conference on Knowledge capture
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Modeling consensus: classifier combination for word sense disambiguation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Applying incremental tree induction to retrieval from manuals and medical texts
Journal of the American Society for Information Science and Technology
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
A co-training framework for searching XML documents
Information Systems
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
ACM Transactions on Information Systems (TOIS)
A regression framework for learning ranking functions using relative relevance judgments
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Active exploration for learning rankings from clickthrough data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
FPGA Acceleration of RankBoost in Web Search Engines
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Data-driven text features for sponsored search click prediction
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Learning to Rank for Information Retrieval
Foundations and Trends in Information Retrieval
Building a framework for the probability ranking principle by a family of expected weighted rank
ACM Transactions on Information Systems (TOIS)
Evaluating information retrieval system performance based on user preference
Journal of Intelligent Information Systems
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Query-adaptive ranking with support vector machines for protein homology prediction
ISBRA'11 Proceedings of the 7th international conference on Bioinformatics research and applications
Ball ranking machines for content-based multimedia retrieval
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
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We show that any approach to developing optimum retrieval functions is based on two kinds of assumptions: first, a certain form of representation for documents and requests, and second, additional simplifying assumptions that predefine the type of the retrieval function. Then we describe an approach for the development of optimum polynomial retrieval functions: request-document pairs (fl, dm) are mapped onto description vectors x(fl, dm), and a polynomial function e(x) is developed such that it yields estimates of the probability of relevance P(R | x (fl, dm) with minimum square errors. We give experimental results for the application of this approach to documents with weighted indexing as well as to documents with complex representations. In contrast to other probabilistic models, our approach yields estimates of the actual probabilities, it can handle very complex representations of documents and requests, and it can be easily applied to multivalued relevance scales. On the other hand, this approach is not suited to log-linear probabilistic models and it needs large samples of relevance feedback data for its application.