Answering general time sensitive queries

Time is an important dimension of relevance for a large number of searches, such as over blogs and news archives. So far, research on searching over such collections has largely focused on locating topically similar documents for a query. Unfortunately, topic similarity alone is not always sufficient for document ranking. In this paper, we observe that, for an important class of queries that we call time-sensitive queries, the publication time of the documents in a news archive is important and should be considered in conjunction with the topic similarity to derive the final document ranking. Earlier work has focused on improving retrieval for "recency" queries that target recent documents. We propose a more general framework for handling time-sensitive queries and we automatically identify the important time intervals that are likely to be of interest for a query. Then, we build scoring techniques that seamlessly integrate the temporal aspect into the overall ranking mechan...

• Type: Conference
• Year: 2008
• Where: CIKM
• Authors: Wisam Dakka, Luis Gravano, Panagiotis G. Ipeirotis
• Keywords: CIKM 2008, Important Time Intervals, Information Management, Time-sensitive Queries, Topic Similarity