TY - GEN
T1 - User perceptions of relevance and its effect on retrieval in a smart textile archive
AU - Horsburgh, Ben
AU - Craw, Susan
AU - Williams, Dorothy
AU - Burnett, Simon
AU - Morrison, Katie
AU - Martin, Suzanne
PY - 2013/9/27
Y1 - 2013/9/27
N2 - The digitisation of physical textiles archives is an important process for the Scottish textiles industry. This transformation creates an easy access point to a wide breadth of knowledge, which can be used to understand historical context and inspire future creativity. The creation of such archives however presents interesting new challenges, such as how to organise this wealth of information, and make it accessible in meaningful ways. We present a Case Based Reasoning approach to creating a digital archive and adapting the representation of items in this archive. In doing so we are able to learn the important facets describing an item, and therefore improve the quality of recommendations made to users of the system. We evaluate this approach by constructing a user study, which was completed by industry experts and students. We also compare how users interact with both an offline physical case base, and the online digital case base. Evaluation of our representation adaptation, and our comparison of physical and digital archives, highlights key findings that can inform and strengthen the process for creating new case bases.
AB - The digitisation of physical textiles archives is an important process for the Scottish textiles industry. This transformation creates an easy access point to a wide breadth of knowledge, which can be used to understand historical context and inspire future creativity. The creation of such archives however presents interesting new challenges, such as how to organise this wealth of information, and make it accessible in meaningful ways. We present a Case Based Reasoning approach to creating a digital archive and adapting the representation of items in this archive. In doing so we are able to learn the important facets describing an item, and therefore improve the quality of recommendations made to users of the system. We evaluate this approach by constructing a user study, which was completed by industry experts and students. We also compare how users interact with both an offline physical case base, and the online digital case base. Evaluation of our representation adaptation, and our comparison of physical and digital archives, highlights key findings that can inform and strengthen the process for creating new case bases.
KW - Digitisation of Physical Archives
KW - Learning Refined Representation
KW - User Evaluation
U2 - 10.1007/978-3-642-39056-2_11
DO - 10.1007/978-3-642-39056-2_11
M3 - Conference contribution
AN - SCOPUS:84884508227
SN - 9783642390555
VL - 7969 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 149
EP - 163
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 21st International Conference on Case-Based Reasoning Research and Development
Y2 - 8 July 2013 through 11 July 2013
ER -