Publication

Offline and online evaluation of news recommender systems at swissinfo.ch

Abstract

We report on the live evaluation of various news recom- mender systems conducted on the website swissinfo.ch. We demonstrate that there is a major diffierence between offine and online accuracy evaluations. In an offine setting, rec- ommending most popular stories is the best strategy, while in a live environment this strategy is the poorest. For online setting, context-tree recommender systems which profile the users in real-time improve the click-through rate by up to 35%. The visit length also increases by a factor of 2.5. Our experience holds important lessons for the evaluation of rec- ommender systems with offine data as well as for the use of the click-through rate as a performance indicator. Copyright © 2014 ACM.

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Related concepts (2)
Reputation system
Reputation systems are programs or algorithms that allow users to rate each other in online communities in order to build trust through reputation. Some common uses of these systems can be found on E-commerce websites such as eBay, Amazon.com, and Etsy as well as online advice communities such as Stack Exchange. These reputation systems represent a significant trend in "decision support for Internet mediated service provisions".
Reputation
The reputation or prestige of a social entity (a person, a social group, an organization, or a place) is an opinion about that entity - typically developed as a result of social evaluation on a set of criteria, such as behavior or performance. Reputation is a ubiquitous, spontaneous, and highly efficient mechanism of social control. It is a subject of study in social, management, and technological sciences. Its influence ranges from competitive settings, like markets, to cooperative ones, like firms, organizations, institutions and communities.

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