Supporting exploratory video retrieval tasks with grouping and recommendation
Halvey, Martin and Vallet, David and Hannah, David and Jose, Joemon M. (2014) Supporting exploratory video retrieval tasks with grouping and recommendation. Information Processing and Management, 50 (6). pp. 876-898. ISSN 0306-4573 (https://doi.org/10.1016/j.ipm.2014.06.004)
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Abstract
In this paper, we present ViGOR (Video Grouping, Organisation and Recommendation), an exploratory video retrieval system. Exploratory video retrieval tasks are hampered by the lack of semantics associated to video and the overwhelming amount of video items stored in these types of collections (e.g. YouTube, MSN video, etc.). In order to help facilitate these exploratory video search tasks we present a system that utilises two complementary approaches: the first a new search paradigm that allows the semantic grouping of videos and the second the exploitation of past usage history in order to provide video recommendations. We present two types of recommendation techniques adapted to the grouping search paradigm: the first is a global recommendation, which couples the multi-faceted nature of explorative video retrieval tasks with the current user need of information in order to provide recommendations, and second is a local recommendation, which exploits the organisational features of ViGOR in order to provide more localised recommendations based on a specific aspect of the user task. Two user evaluations were carried out in order to (1) validate the new search paradigm provided by ViGOR, characterised by the grouping functionalities and (2) evaluate the usefulness of the proposed recommendation approaches when integrated into ViGOR. The results of our evaluations show (1) that the grouping, organisational and recommendation functionalities can result in an improvement in the users’ search performance without adversely impacting their perceptions of the system and (2) that both recommendation approaches are relevant to the users at different stages of their search, showing the importance of using multi-faceted recommendations for video retrieval systems and also illustrating the many uses of collaborative recommendations for exploratory video search tasks.
ORCID iDs
Halvey, Martin ORCID: https://orcid.org/0000-0001-6387-8679, Vallet, David, Hannah, David and Jose, Joemon M.;-
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Item type: Article ID code: 53170 Dates: DateEventNovember 2014Published24 August 2014Published Online19 June 2014AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 01 Jun 2015 14:55 Last modified: 11 Nov 2024 10:45 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/53170