Formal models for expert finding in enterprise corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Ranking very many typed entities on wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Proceedings of the 2008 ACM symposium on Applied computing
Computing information retrieval performance measures efficiently in the presence of tied scores
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Entity summarization of news articles
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Overview of the INEX 2009 entity ranking track
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
Combining inverted indices and structured search for ad-hoc object retrieval
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Learning to rank search results for time-sensitive queries
Proceedings of the 21st ACM international conference on Information and knowledge management
Influence of timeline and named-entity components on user engagement
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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Retrieving entities instead of just documents has become an important task for search engines. In this paper we study entity retrieval for news applications, and in particular the importance of the news trail history (i.e., past related articles) in determining the relevant entities in current articles. This is an important problem in applications that display retrieved entities to the user, together with the news article. We analyze and discuss some statistics about entities in news trails, unveiling some unknown findings such as the persistence of relevance over time. We focus on the task of query dependent entity retrieval over time. For this task we evaluate several features, and show that their combinations significantly improves performance.