Mining Pharmacy Data Helps to Make Profits
Data Mining and Knowledge Discovery
Incremental Mining of Constrained Associations
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
The Category-Demand Effects of Price Promotions
Marketing Science
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Collaborative filtering via gaussian probabilistic latent semantic analysis
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The Journal of Machine Learning Research
Web usage mining based on probabilistic latent semantic analysis
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
The author-topic model for authors and documents
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
An MDP-Based Recommender System
The Journal of Machine Learning Research
ICML '06 Proceedings of the 23rd international conference on Machine learning
Topic modeling: beyond bag-of-words
ICML '06 Proceedings of the 23rd international conference on Machine learning
Topics over time: a non-Markov continuous-time model of topical trends
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Recommendation method for extending subscription periods
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Dynamic mixed membership blockmodel for evolving networks
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Grocery shopping recommendations based on basket-sensitive random walk
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Topic tracking model for analyzing consumer purchase behavior
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Online multiscale dynamic topic models
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Expectation-propagation for the generative aspect model
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
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We propose a new topic model for analyzing purchase data with price information. Price is an important factor in consumer purchase behavior. The proposed model assumes that a topic has its own price distributions for each item as well as an item distribution. The topic proportions, which represent a user's purchase tendency, are influenced by the user's purchased items and their prices. By estimating the mean and the variance of the price for each topic, the proposed model can cluster related items taking their price ranges into consideration. We present its efficient inference procedure based on collapsed Gibbs sampling. Experiments on real purchase data demonstrate the effectiveness of the proposed model.