Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
An evaluation of automatic query expansion in an online library catalogue
Journal of Documentation
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving retrieval performance by relevance feedback
Readings in information retrieval
From highly relevant to not relevant: examining different regions of relevance
Information Processing and Management: an International Journal
Footprints: history-rich tools for information foraging
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine
User Modeling and User-Adapted Interaction
Multimedia information retrieval: what is it, and why isn't anyone using it?
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Collecting community wisdom: integrating social search & social navigation
Proceedings of the 12th international conference on Intelligent user interfaces
Studying the use of popular destinations to enhance web search interaction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Online video recommendation based on multimodal fusion and relevance feedback
Proceedings of the 6th ACM international conference on Image and video retrieval
Analysis of online video search and sharing
Proceedings of the eighteenth conference on Hypertext and hypermedia
Video search re-ranking via multi-graph propagation
Proceedings of the 15th international conference on Multimedia
Establishing the utility of non-text search for news video retrieval with real world users
Proceedings of the 15th international conference on Multimedia
Use of implicit graph for recommending relevant videos: a simulated evaluation
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Learned lexicon-driven interactive video retrieval
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Mining novice user activity with TRECVID interactive retrieval tasks
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
ViGOR: a grouping oriented interface for search and retrieval in video libraries
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
On User Modelling for Personalised News Video Recommendation
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
A multi faceted recommendation approach for explorative video retrieval tasks
Proceedings of the 15th international conference on Intelligent user interfaces
Proceedings of the international conference on Multimedia information retrieval
Optimizing visual search with implicit user feedback in interactive video retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
An asynchronous collaborative search system for online video search
Information Processing and Management: an International Journal
Effects of Usage-Based Feedback on Video Retrieval: A Simulation-Based Study
ACM Transactions on Information Systems (TOIS)
An online video recommendation framework using rich information
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
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In this paper we present an innovative approach for aiding users in the difficult task of video search. We use community based feedback mined from the interactions of previous users of our video search system to aid users in their search tasks. This feedback is the basis for providing recommendations to users of our video retrieval system. The ultimate goal of this system is to improve the quality of the results that users find, and in doing so, help users to explore a large and difficult information space and help them consider search options that they may not have considered otherwise. In particular we wish to make the difficult task of search for video much easier for users. The results of a user evaluation indicate that we achieved our goals, the performance of the users in retrieving relevant videos improved, and users were able to explore the collection to a greater extent.