Efficient Retrieval for Contextual Advertising Utilizing Past Click Logs
- 1 January 2017
- journal article
- Published by Japanese Society for Artificial Intelligence in Transactions of the Japanese Society for Artificial Intelligence
- Vol. 32 (6)
- https://doi.org/10.1527/tjsai.a-h52
Abstract
No abstract availableThis publication has 20 references indexed in Scilit:
- Deep Neural Networks for YouTube RecommendationsPublished by Association for Computing Machinery (ACM) ,2016
- Simple and Scalable Response Prediction for Display AdvertisingACM Transactions on Intelligent Systems and Technology, 2014
- Practical Lessons from Predicting Clicks on Ads at FacebookPublished by Association for Computing Machinery (ACM) ,2014
- Web-scale user modeling for targetingPublished by Association for Computing Machinery (ACM) ,2012
- Fast top-k retrieval for model based recommendationPublished by Association for Computing Machinery (ACM) ,2012
- Faster top-k document retrieval using block-max indexesPublished by Association for Computing Machinery (ACM) ,2011
- Learning the click-through rate for rare/new ads from similar adsPublished by Association for Computing Machinery (ACM) ,2010
- Contextual advertising by combining relevance with click feedbackPublished by Association for Computing Machinery (ACM) ,2008
- A semantic approach to contextual advertisingPublished by Association for Computing Machinery (ACM) ,2007
- Efficient query evaluation using a two-level retrieval processPublished by Association for Computing Machinery (ACM) ,2003