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TREC
2008
13 years 6 months ago
Word Importance Discrimination Using Context Information
Word importance discrimination is a task deserving attention when one treats a topic from TREC where a topic is quite long. The goal of the process is to estimate importance of wo...
Danil Nemirovsky, Vladimir Dobrynin
ICIP
2002
IEEE
13 years 9 months ago
Video skims: taxonomies and an optimal generation framework
This paper presents a new conceptual framework for summarization that considers the relationship between entities, device properties and user information needs. We summarize using...
Hari Sundaram, Shih-Fu Chang
ISMIR
2005
Springer
151views Music» more  ISMIR 2005»
13 years 10 months ago
Markov Random Fields and Maximum Entropy Modeling for Music Information Retrieval
Music information retrieval is characterized by a number of various user information needs. Systems are being developed that allow searchers to find melodies, rhythms, genres, an...
Jeremy Pickens, Costas S. Iliopoulos
AH
2008
Springer
13 years 11 months ago
Social Information Access for the Rest of Us: An Exploration of Social YouTube
The motivation behind many Information Retrieval systems is to identify and present relevant information to people given their current goals and needs. Learning about user preferen...
Maurice Coyle, Jill Freyne, Peter Brusilovsky, Bar...
QI
2009
Springer
127views Physics» more  QI 2009»
13 years 11 months ago
Structured Information Retrieval and Quantum Theory
Information Retrieval (IR) systems try to identify documents relevant to user queries, which are representations of user information needs. Interaction, context, and document struc...
Benjamin Piwowarski, Mounia Lalmas
CHI
2003
ACM
14 years 4 months ago
Persona development for information-rich domains
Designing information architecture for complex websites requires understanding user information needs and mental models in that domain. Personas, or user archetypes, created for s...
Rashmi R. Sinha