TY - GEN
T1 - Something Just Like This
T2 - 2024 Conference on Human Information Interaction and Retrieval, CHIIR 2024
AU - Zhang, Huiwen
AU - McKay, Dana
AU - Twidale, Michael
AU - Buchanan, George
N1 - Publisher Copyright:
© 2024 ACM.
PY - 2024/3/10
Y1 - 2024/3/10
N2 - Information seekers often want 'something just like this', an information object (song, book, movie) like one they already know about. This approach is the premise of many modern recommender systems, which ask information seekers for examples of things they like in order to return similar things. This type of information seeking, though, is not particularly well supported by search engines, partly because the ways in which objects can be alike are multifaceted and difficult to articulate, partly because the analogue might emerge in the process of information seeking. This approach to information seeking has been touched on repeatedly in information science literature but not examined in detail. In this paper, we present a pair of studies that explore both how people seek information using analogues online and the ways in which information objects might be alike. Our results offer a novel understanding of a previously underexplored but common behaviour, addressing how analogues are identified, how they are used in information seeking, and the ways in which objects can be analogous from an information seeker's perspective. Our work can support the development of recommender systems, conversational search approaches, and digital interfaces that support this common but little-examined type of information seeking.
AB - Information seekers often want 'something just like this', an information object (song, book, movie) like one they already know about. This approach is the premise of many modern recommender systems, which ask information seekers for examples of things they like in order to return similar things. This type of information seeking, though, is not particularly well supported by search engines, partly because the ways in which objects can be alike are multifaceted and difficult to articulate, partly because the analogue might emerge in the process of information seeking. This approach to information seeking has been touched on repeatedly in information science literature but not examined in detail. In this paper, we present a pair of studies that explore both how people seek information using analogues online and the ways in which information objects might be alike. Our results offer a novel understanding of a previously underexplored but common behaviour, addressing how analogues are identified, how they are used in information seeking, and the ways in which objects can be analogous from an information seeker's perspective. Our work can support the development of recommender systems, conversational search approaches, and digital interfaces that support this common but little-examined type of information seeking.
KW - Digital Reading
KW - Information Seeking
KW - Seek by Analogue
UR - http://www.scopus.com/inward/record.url?scp=85188740416&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188740416&partnerID=8YFLogxK
U2 - 10.1145/3627508.3638317
DO - 10.1145/3627508.3638317
M3 - Conference contribution
AN - SCOPUS:85188740416
T3 - CHIIR 2024 - Proceedings of the 2024 Conference on Human Information Interaction and Retrieval
SP - 189
EP - 198
BT - CHIIR 2024 - Proceedings of the 2024 Conference on Human Information Interaction and Retrieval
PB - Association for Computing Machinery
Y2 - 10 March 2024 through 14 March 2024
ER -