Challenges in information retrieval and language modeling

Abstract

SummaryInformation retrieval (IR)

LifeLogging: Personal Big Data

“…As recently as 2011, Järvelin produced a summary review article on the topic in Järvelin (2011). These models of the information seeking process in information retrieval have always acknowledged the capturing and leveraging context as being one of the grand challenges in information retrieval, Allan et al (2003a);Callan et al (2007); Allan et al (2012). Even in the area of multimedia information retrieval, it is now recognised that in order to make a quantum leap that supports the high demands of users, we need to make a significant step in the area of understanding users, understanding what they are doing, and why.…”

Statistical language modeling for information retrieval

“…Successful applications of the LM approach to a number of retrieval tasks have also been reported, including cross-lingual retrieval (Xu, et al, 2001;Lavrenko et al, 2002) and distributed retrieval (Xu & Croft, 1999;Si et al, 2002). Research carried out by a number of groups has confirmed that the language modeling approach is a theoretically attractive and potentially very effective probabilistic framework for studying information retrieval problems (Croft & Lafferty, 2003). This empirical success and the overall potential of the approach have also triggered the LEMUR 1 project.…”

“…words, phrases, or topics), actions (e.g. browsing behavior), and annotations/judgments (Allan et al, 2003).…”

A Context Model For Focused Web Search

“…In fact, a context is a very important component towards building a goal-oriented web search system. In a workshop held [5] at the Center for Intelligent Information Retrieval, University of Massachusetts Amherst, September 2002, the contextual retrieval was considered as the long-term challenge in the information retrieval and was defined as:…”