Omid Madani
ABSTRACT
The contextual recommender task is the problem of making useful offers, e.g., placing ads or related links on a web page, based on the context information, e.g., contents of the page and information about the user visiting, and information on the available alternatives, i.e., the advertisements or relevant links. In the case of ads for example, the goal is to select ads that result in high click rates, where the (ad) click rate is some unknown function of the attributes of the context and ad. We describe the task and make connections to related problems including recommender and multi-armed bandit problems.
- P. Auer, N. Cesa-Bianchi, Y. Freund, and R. E. Schapire. The non-stochastic multi-armed bandit problem. SIAM Journal on Computing, 2002. Google Scholar
Digital Library
- D. A. Berry and B. Fristedt. Bandit Problems. Chapman and Hall, 1985.Google ScholarCross Ref
- J. Gittins. Multi-Armed Bandit Allocation Indices. John Wiley and Sons, 1989.Google Scholar
- T. Joachims. Optimizing search engines using clickthrough data. In Proceedings of the ACM Conference on Knowledge Discovery and Data Mining. ACM, 2002. Google ScholarDigital Library
- J. Kleingberg, C. Papadimitriou, and P. Raghavan. Segmentation problems. In Proceedings of the thirtieth annual ACM symposium on Theory of computing, 1998. Google ScholarDigital Library
- O. Madani, D. J. Lizotte, and R. Greiner. The budgeted multi-armed bandit problem. In COLT, 2004.Google Scholar
- M. Perkowitz and O. Etzioni. Towards adaptable web sites: Conceptual framework and case study. Artificial Intelligence, 2001. Google ScholarDigital Library
- P. Resnick and H. R. Varian. Recommender systems. Communications of the ACM, 40(3), 1997. Google ScholarDigital Library
- R. Sutton and A. G. Barto. Reinforcement Learning: An Introduction. MIT press, 1998. Google ScholarDigital Library
Index Terms
- Contextual recommender problems [extended abstract]
Recommendations
Interactive Social Recommendation
CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge ManagementSocial recommendation has been an active research topic over the last decade, based on the assumption that social information from friendship networks is beneficial for improving recommendation accuracy, especially when dealing with cold-start users who ...
Incorporating contextual information in recommender systems using a multidimensional approach
The article presents a multidimensional (MD) approach to recommender systems that can provide recommendations based on additional contextual information besides the typical information on users and items used in most of the current recommender systems. ...
A hybrid web recommender system based on Q-learning
SAC '08: Proceedings of the 2008 ACM symposium on Applied computingDifferent efforts have been made to address the problem of information overload on the Internet. Recommender systems aim at directing users through this information space, toward the resources that best meet their needs and interests. Web Content ...
Comments