Date of Original Version

7-2011

Type

Conference Proceeding

Journal Title

Proceedings of the SIGIR Workshop on Enriching Information Retrieval

Rights Management

Copyright is held by the authors

Abstract or Description

We describe a system for recommending news articles, called NewsPer, which learns news-reading preferences of its users and suggests recently published articles that may be of interest to specific readers based on their interest profiles. The underlying algorithm is based on representing articles by bags of words and named entities, and applying support vector machines to this representation. We present this algorithm and give initial empirical results. We also discuss broader issues in the news personalization and the challenges of performance evaluation based on historical data.

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Published In

Proceedings of the SIGIR Workshop on Enriching Information Retrieval.