An Efficient Temporal Query Search for Time Sensitive Queries.

Time Stamp is an important magnitude for document relevance for a large number of searches, such as over blogs and news archives. 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 presented an efficient method for processing time-sensitive queries over a news archive, with techniques for identifying important time periods for a query. This work demonstrates the integrating time in the retrieval task can improve the quality of the retrieval results, and motivates further research in the area. Currently, we rely on the publication time of the documents to locate time periods of interest. However, a document published at a later date (e.g., a review article, summarizing an event) may also be relevant. In this paper the research direction is to introduce time-based diversity in query results by grouping the results into clusters of relevant time ranges, enabling users to be aware of and interact with time information when examining the query results.