Neural features of video topical relevance

Luisa R Pinto, Yashar Moshfeghi, Frank E Pollick, Joemon M Jose

Research output: Contribution to journalArticle

Abstract

For over 50 years, Information Retrieval Systems (IRSs) have been helping users to find relevant information. However, IRSs often retrieve non-relevant information causing user dissatisfaction. Relevance therefore has become a key concept for IRS building and evaluation. Research in this area used to be centred in a system view of relevance, but since it has become widely accepted that relevance is a human perception (Saracevic, 1996) , the research on relevance has moved to a user view of relevance (Mizzaro, 1997), focusing on relevance in the world of the user - such as the way users assess relevance depending on the problem at hand, context and criteria.
Original languageEnglish
Pages (from-to)51
Number of pages1
JournalNeuroIS
Publication statusPublished - 2014

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video
information retrieval
evaluation

Keywords

  • information retrieval
  • video

Cite this

Pinto, L. R., Moshfeghi, Y., Pollick, F. E., & Jose, J. M. (2014). Neural features of video topical relevance. NeuroIS, 51.
Pinto, Luisa R ; Moshfeghi, Yashar ; Pollick, Frank E ; Jose, Joemon M. / Neural features of video topical relevance. In: NeuroIS. 2014 ; pp. 51.
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Pinto, LR, Moshfeghi, Y, Pollick, FE & Jose, JM 2014, 'Neural features of video topical relevance', NeuroIS, pp. 51.

Neural features of video topical relevance. / Pinto, Luisa R; Moshfeghi, Yashar; Pollick, Frank E; Jose, Joemon M.

In: NeuroIS, 2014, p. 51.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Neural features of video topical relevance

AU - Pinto, Luisa R

AU - Moshfeghi, Yashar

AU - Pollick, Frank E

AU - Jose, Joemon M

PY - 2014

Y1 - 2014

N2 - For over 50 years, Information Retrieval Systems (IRSs) have been helping users to find relevant information. However, IRSs often retrieve non-relevant information causing user dissatisfaction. Relevance therefore has become a key concept for IRS building and evaluation. Research in this area used to be centred in a system view of relevance, but since it has become widely accepted that relevance is a human perception (Saracevic, 1996) , the research on relevance has moved to a user view of relevance (Mizzaro, 1997), focusing on relevance in the world of the user - such as the way users assess relevance depending on the problem at hand, context and criteria.

AB - For over 50 years, Information Retrieval Systems (IRSs) have been helping users to find relevant information. However, IRSs often retrieve non-relevant information causing user dissatisfaction. Relevance therefore has become a key concept for IRS building and evaluation. Research in this area used to be centred in a system view of relevance, but since it has become widely accepted that relevance is a human perception (Saracevic, 1996) , the research on relevance has moved to a user view of relevance (Mizzaro, 1997), focusing on relevance in the world of the user - such as the way users assess relevance depending on the problem at hand, context and criteria.

KW - information retrieval

KW - video

UR - http://www.neurois.org/papers/2014/2014%20Proceedings%20Gmunden%20Retreat%20on%20NeuroIS%20paper%2028.pdf

M3 - Article

SP - 51

JO - NeuroIS

JF - NeuroIS

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Pinto LR, Moshfeghi Y, Pollick FE, Jose JM. Neural features of video topical relevance. NeuroIS. 2014;51.