Click Through Rate Prediction for Local Search Results-Reference-Cited by-同舟云学术

Click Through Rate Prediction for Local Search Results

Published:2017-02-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
language:
Short-container-title:

Author:

Cacheda Fidel¹,Barbieri Nicola²,Blanco Roi¹

Affiliation:

1. University of A Coruña, A Coruña, Spain

2. Tumblr, New York City, USA

Funder

Ministerio de Economía y Competitividad

Ministerio de Educación, Cultura y Deporte

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3018661.3018683

Reference28 articles.

1. Spatio-temporal models for estimating click-through rate

2. S. Balakrishnan S. Chopra and I. D. Melamed. The business next door: Click-through rate modeling for local search. Machine Learning in Online Advertising page 14 2010. S. Balakrishnan S. Chopra and I. D. Melamed. The business next door: Click-through rate modeling for local search. Machine Learning in Online Advertising page 14 2010.

3. Improving local search ranking through external logs

4. A taxonomy of local search

5. A dynamic bayesian network click model for web search ranking

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