Time is an important aspect in temporal information retrieval (TIR), a subfield of information
retrieval (IR). Web search engines like Google or Bing are common examples of IR systems …

ABSTRACT Temporal Information Retrieval is an emerging research area in the field of
Information Retrieval. Due to the immense amount of data in the WWW, and because the …

In this thesis, we address major challenges in searching temporal document collections. In
such collections, documents are created and/or edited over time. Examples of temporal …

Time is an important dimension of any information space. It can be very useful for a wide
range of information retrieval tasks such as document exploration, similarity search …

With the rapid growth of digitised document resources, both on and off the web, and
increased variety in types of document collections, future information systems will face …

Time is an important dimension of any information space and can be very useful in
information retrieval. Current information retrieval systems and applications do not take …

Temporal information retrieval has been a topic of great interest in recent years. Its purpose
is to improve the effectiveness of information retrieval methods by exploiting temporal …

Despite a clear improvement of search and retrieval temporal applications, current search
engines are still mostly unaware of the temporal dimension. Indeed, in most cases, systems …

Retrieval effectiveness of temporal queries can be improved by taking into account the time
dimension. Existing temporal ranking models follow one of two main approaches: 1) a …

One of the most relevant research topics in Information Retrieval is Automatic Document
Classification (ADC). Several ADC algorithms have been proposed in the literature …