Modelling documents with multiple Poisson distributions
Information Processing and Management: an International Journal
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval as statistical translation
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A general language model for information retrieval (poster abstract)
Proceedings of the 22nd 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
On an equivalence between PLSI and LDA
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The Journal of Machine Learning Research
A probabilistic model for Latent Semantic Indexing: Research Articles
Journal of the American Society for Information Science and Technology
A Generalized Topic Modeling Approach for Maven Search
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Exploiting Temporal Authors Interests via Temporal-Author-Topic Modeling
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Conference Mining via Generalized Topic Modeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Estimating Likelihoods for Topic Models
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Temporal expert finding through generalized time topic modeling
Knowledge-Based Systems
PageRank without hyperlinks: Structural reranking using links induced by language models
ACM Transactions on Information Systems (TOIS)
Semantic grounding of hybridization for tag recommendation
WAIM'10 Proceedings of the 11th international conference on Web-age information management
From "identical" to "similar": fusing retrieved lists based on inter-document similarities
Journal of Artificial Intelligence Research
Using time topic modeling for semantics-based dynamic research interest finding
Knowledge-Based Systems
Adaptive query-based sampling of distributed collections
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
Finding experts in tag based knowledge sharing communities
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
An empirical study of SLDA for information retrieval
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Group topic modeling for academic knowledge discovery
Applied Intelligence
Towards personalized context-aware recommendation by mining context logs through topic models
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities
International Journal of Knowledge and Systems Science
Ranking experts using author-document-topic graphs
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
LDA-based online topic detection using tensor factorization
Journal of Information Science
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An empirical study has been conducted investigating the relationship between the performance of an aspect based language model in terms of perplexity and the corresponding information retrieval performance obtained. It is observed, on the corpora considered, that the perplexity of the language model has a systematic relationship with the achievable precision recall performance though it is not statistically significant.