SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
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
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
The Journal of Machine Learning Research
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
A Markov random field model for term dependencies
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Similarity measures for tracking information flow
Proceedings of the 14th ACM international conference on Information and knowledge management
Improving the estimation of relevance models using large external corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Regularized estimation of mixture models for robust pseudo-relevance feedback
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
LDA-based document models for ad-hoc retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in 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
Latent concept expansion using markov random fields
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the Second ACM International Conference on Web Search and Data Mining
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
A density-based method for adaptive LDA model selection
Neurocomputing
A Comparative Study of Utilizing Topic Models for Information Retrieval
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Predicting user interests from contextual information
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
The Sensitivity of Latent Dirichlet Allocation for Information Retrieval
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Probabilistic models of ranking novel documents for faceted topic retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Finding good feedback documents
Proceedings of the 18th ACM conference on Information and knowledge management
Query reformulation using automatically generated query concepts from a document space
Information Processing and Management: an International Journal
Information-based models for ad hoc IR
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Automatic evaluation of topic coherence
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Concepts and semantic relations in information science
Journal of the American Society for Information Science and Technology
Concept-Based Information Retrieval Using Explicit Semantic Analysis
ACM Transactions on Information Systems (TOIS)
Parameterized concept weighting in verbose queries
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Latent topic feedback for information retrieval
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient and effective spam filtering and re-ranking for large web datasets
Information Retrieval
On finding the natural number of topics with latent dirichlet allocation: some observations
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
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Translating an information need into a keyword query can be a complex cognitive process which often results in under-specification. Retrieving documents based solely on keywords can lead the user to browse documents that do not address the specific query facets she was looking for. We introduce an unsupervised method for mining and modeling latent search concepts in order to increase the coverage of these facets. We use Latent Dirichlet Allocation (LDA), a generative probabilistic topic model, to exhibit highly-specific query-related topics from pseudo-relevant feedback documents. We define these topics as the latent concepts of the user query. The main strength of our approach is that it automatically estimates the number of latent concepts as well as the needed amount of feedback documents, without any prior training step. We evaluate our approach over two large ad-hoc TREC collections, and results show that our approach significantly improves document retrieval effectiveness and even provides a better representation of the information need than the original query.