An evaluation of automatic query expansion in an online library catalogue
Journal of Documentation
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
Proceedings of the 6th international conference on Intelligent user interfaces
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Addressing the challenge of visual information access from digital image and video libraries
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Terrier information retrieval platform
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Exploiting log files in video retrieval
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
A cluster-based simulation of facet-based search
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Studying interaction methodologies in video retrieval
Proceedings of the VLDB Endowment
Facet-Based Browsing in Video Retrieval: A Simulation-Based Evaluation
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Simulated evaluation of faceted browsing based on feature selection
Multimedia Tools and Applications
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
Optimizing visual search with implicit user feedback in interactive video retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
Effects of Usage-Based Feedback on Video Retrieval: A Simulation-Based Study
ACM Transactions on Information Systems (TOIS)
Hi-index | 0.00 |
Interactive video retrieval systems are becoming popular. On the one hand, these systems try to reduce the effect of the semantic gap, an issue currently being addressed by the multimedia retrieval community. On the other hand, such systems enhance the quality of information seeking for the user by supporting query formulation and reformulation. Interactive systems are very popular in the textual retrieval domain. However, they are relatively unexplored in the case of multimedia retrieval. The main problem in the development of interactive retrieval systems is the evaluation cost.The traditional evaluation methodology, as used in the information retrieval domain, is not applicable. An alternative is to use a user-centred evaluation methodology. However, such schemes are expensive in terms of effort, cost and are not scalable. This problem gets exacerbated by the use of implicit indicators, which are useful and increasingly used in predicting user intentions. In this paper, we explore the effectiveness of a number of interfaces and feedback mechanisms and compare their relative performance using a simulated evaluation methodology. The results show the relatively better performance of a search interface with the combination of explicit and implicit features.