The Journal of Machine Learning Research
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
Optimizing semantic coherence in topic models
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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At present, online shopping is typically a search-oriented activity where a user gains access to products which best match their query. Instead, we propose a surf-oriented online shopping paradigm, which links associated products allowing users to "wander around" the online store and enjoy browsing a variety of items. As an initial step in creating this experience, we constructed a prototype of an online shopping interface which combines product ontology information with topic model results to allow users to explore items from the food and kitchen domain. As a novel task for topic model application, we also discuss possible approaches to the task of selecting the best product categories to illustrate the hidden topics discovered for our product domain.