Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2010/paper/main/903> ?p ?o. }
Showing items 1 to 13 of
13
with 100 items per page.
- 903 creator john-langford.
- 903 creator lihong-li.
- 903 creator robert-schapire.
- 903 creator wei-chu.
- 903 type InProceedings.
- 903 label "A Contextual Bandit Approach to Personalized News Article Recommendation".
- 903 sameAs 903.
- 903 abstract "Personalized web services strive to adapt their services (advertisement, news articles, etc.) to individual users by making use of both content and user information. Despite a few recent advances, this problem remains challenging for at least two reasons. First, web service is featured with dynamically changing pools of contents, rendering traditional collaborative filtering methods inapplicable. Second, the scale of most web services of practical interest calls for solutions that are both fast in learning and computationally cheap. In this work, we model the personalized recommendation of news articles as a contextual bandit problem, a principled approach in which a learning algorithm sequentially selects articles to serve users based on contextual information about the user and articles, while simultaneously adapting its article-selection strategy based on user-click feedback. The contributions of this work are three-fold. First, we propose a novel, general contextual bandit algorithm that is computationally efficient and well motivated from information theory. Second, we argue that any bandit algorithm can be reliably evaluated \emph{offline} using previously recorded random traffic. Finally, using this offline evaluation method, we successfully applied our new algorithm to a commercial product dataset containing over 33 million events, resulting in a 12.5% click lift compared to a standard context-free bandit algorithm, and the advantage becomes even greater when data gets more scarce.".
- 903 hasAuthorList authorList.
- 903 isPartOf proceedings.
- 903 keyword "Personalization".
- 903 keyword "recommendation systems".
- 903 title "A Contextual Bandit Approach to Personalized News Article Recommendation".