Bibtex de la publication

@InProceedings{ DeMiBlZa2010.2,
author = {Demartini, Gianluca and Missen, Malik Muhammad Saad and Blanco, Roi and Zaragoza, Hugo},
title = "{TAER: Time Aware Entity Retrieval (poster)}",
booktitle = "{Conference on Information and Knowledge Management (CIKM 2010), Toronto, Canada, 26/10/10-30/10/10}",
year = {2010},
month = {octobre},
publisher = {ACM : Association for Computing Machinery},
address = {},
pages = {1517--1520},
language = {anglais},
URL = {},
keywords = {SIGRI, Entity Retrieval, Time-aware Search},
abstract = {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 ndings 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 signi cantly improves performance.}