Abstract
Despite a surge in popularity of work on casual leisure search, some leisure domains are still relatively underrepresented. Movies are good example of such a domain, which is peculiar given the popularity of movie-centered websites and discovery services such as IMDB, RottenTomatoes, and Netflix. In this paper, we present an exploratory analysis of IMDB movie discussion threads that contain requests for movies to watch. Through emergent coding we produce a taxonomy of relevance aspects for movie search and selection. Our analysis shows that topical aspects, such as content, metadata, and known-item search, are important for movie selection practices. Other requests focus more on recommendation and feature many subjective relevance aspects, such as the tone of a movie or its intended audience. This suggests efficient access to movies is likely to require different information access paradigms to satisfy all the movie-related information needs expressed in the threads.
Original language | English |
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Title of host publication | Proceedings of iConference 2015 |
Number of pages | 6 |
Publisher | iSchools |
Publication date | 24 Mar 2015 |
Publication status | Published - 24 Mar 2015 |
Externally published | Yes |
Event | iConference 2015: Create, Collaborate, Celebrate - Newport Beach Marriott Hotel & Spa, Newport Beach, CA, United States Duration: 24 Mar 2015 → 27 Mar 2015 |
Conference
Conference | iConference 2015 |
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Location | Newport Beach Marriott Hotel & Spa |
Country/Territory | United States |
City | Newport Beach, CA |
Period | 24/03/2015 → 27/03/2015 |
Keywords
- Movie search
- Relevance aspects
- Casual leisure search
- IMDB discussion threads
- Recommendation systems