Quantifying and Visualizing the Demand and Supply Gap from E-commerce Search Data using Topic Models-Reference-Cited by-同舟云学术

Quantifying and Visualizing the Demand and Supply Gap from E-commerce Search Data using Topic Models

Published:2019-05-13 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of The 2019 World Wide Web Conference
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Author:

Goswami Anjan¹,Mohapatra Prasant¹,Zhai Chengxiang²

Affiliation:

1. UC David

2. UIUC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3308560.3316605

Reference22 articles.

1. Communication and Promotion Decisions in Retailing: A Review and Directions for Future Research

2. Gary Armstrong Philip Kotler Michael Harker and Ross Brennan. 2015. Marketing: an introduction. Pearson Education. Gary Armstrong Philip Kotler Michael Harker and Ross Brennan. 2015. Marketing: an introduction. Pearson Education.

3. Divergence measures for statistical data processing—An annotated bibliography

4. A Latent Dirichlet Model for Unsupervised Entity Resolution

5. Probabilistic topic models

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