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
The Journal of Machine Learning Research
Expectation-propagation for the generative aspect model
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Investigating the relationship between language model perplexity and IR precision-recall measures
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The rate adapting poisson model for information retrieval and object recognition
ICML '06 Proceedings of the 23rd international conference on Machine learning
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
Incremental probabilistic latent semantic analysis for automatic question recommendation
Proceedings of the 2008 ACM conference on Recommender systems
Ontology Construction Based on Latent Topic Extraction in a Digital Library
ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
The VLDB Journal — The International Journal on Very Large Data Bases
Probabilistic latent semantic user segmentation for behavioral targeted advertising
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Automatic essay grading with probabilistic latent semantic analysis
EdAppsNLP 05 Proceedings of the second workshop on Building Educational Applications Using NLP
Online New Event Detection Based on IPLSA
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
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
Cross-cultural analysis of blogs and forums with mixed-collection topic models
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Data mining for web personalization
The adaptive web
Expression microarray classification using topic models
Proceedings of the 2010 ACM Symposium on Applied Computing
Text categorization based on topic model
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
On smoothing and inference for topic models
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Bug localization using latent Dirichlet allocation
Information and Software Technology
Topic modeling for personalized recommendation of volatile items
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
SCENE: a scalable two-stage personalized news recommendation system
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Clickthrough-based latent semantic models for web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Larger residuals, less work: active document scheduling for latent dirichlet allocation
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Trading spaces: on the lore and limitations of latent semantic analysis
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
More influence means less work: fast latent dirichlet allocation by influence scheduling
Proceedings of the 20th ACM international conference on Information and knowledge management
Applying latent dirichlet allocation to automatic essay grading
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Proceedings of the fifth ACM international conference on Web search and data mining
Personalized news recommendation: a review and an experimental investigation
Journal of Computer Science and Technology - Special issue on Community Analysis and Information Recommendation
Social-network analysis using topic models
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Investigating Topic Models' Capabilities in Expression Microarray Data Classification
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
PENETRATE: Personalized news recommendation using ensemble hierarchical clustering
Expert Systems with Applications: An International Journal
Clustering tagged documents with labeled and unlabeled documents
Information Processing and Management: an International Journal
Incorporating popularity in topic models for social network analysis
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Scalable topic-specific influence analysis on microblogs
Proceedings of the 7th ACM international conference on Web search and data mining
Computing paper similarity based on latent dirichlet allocation
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Continuous human action recognition in real time
Multimedia Tools and Applications
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Latent Dirichlet Allocation (LDA) is a fully generative approach to language modelling which overcomes the inconsistent generative semantics of Probabilistic Latent Semantic Indexing (PLSI). This paper shows that PLSI is a maximum a posteriori estimated LDA model under a uniform Dirichlet prior, therefore the perceived shortcomings of PLSI can be resolved and elucidated within the LDA framework.