Handling temporal information in web search engines

Abstract

TheWeb can be considered a vast repository of temporal information, as it daily receives a huge amount of new pages. Generally, users are interested in information related to a specific temporal interval. In the information retrieval area, researches have newly incorporated the temporal dimension to the search engines. This paper presents a comprehensive study that describes the evolution of search engines on the exploitation of temporal information. Research directions and future perspectives are also presented, considering the authors' point of view.