ACM Transactions on Intelligent Systems and Technology (TIST): Volume 3 Issue 3, May 2012
Citation Count: 8
Downloads (6 Weeks): 8, Downloads (12 Months): 46, Downloads (Overall): 489
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Effective sharing of diverse social media is often inhibited by limitations in their search and discovery mechanisms, which are particularly restrictive for media that do not lend themselves to automatic processing or indexing. Here, we present the structure and mechanism of an adaptive search engine which is designed to overcome ...
Adaptive indexing, evolutionary computation, genetic algorithms, multimedia semantics, relevance feedback, social media
International Journal of Advanced Intelligence Paradigms: Volume 1 Issue 4, June 2009
Publisher: Inderscience Publishers
This paper introduces Community Adaptive Search Engines (CASE) for multimedia object retrieval. CASE systems adapt their behaviour depending on the collective feedback of the users in order to eventually converge to the optimal answer. The community adaptive approach uses continuous user feedbacks on the lists of returned objects in order ...
multimedia objects, user feedback, adaptive information retrieval, game theory, continuous feedback, adaptive search engines, collective knowledge, evolutionary computation, multimedia object retrieval
MoMM '08: Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
Citation Count: 1
Downloads (6 Weeks): 0, Downloads (12 Months): 3, Downloads (Overall): 148
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Adaptive search engines (ASE), used in the retrieval of multimedia objects adapt their behavior depending on the user feedback in order to eventually converge to the optimal answer. The adaptive architecture has been shown to improve the performance in case of multimedia objects retrieval, when pre-indexing techniques are costly or ...
collective knowledge, evolutionary computation, adaptive information retrieval, game theory
VISUAL '08: Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
A challenging problem facing the semantic search of multimedia data objects is the ability to index them. Here, we present an architectural paradigm for collaborative semantic indexing, which makes use of a dynamic evolutionary approach. By capturing, analyzing and interpreting user response and query behavior, the patterns of searching and ...
Collaborative indexing, Concept-based Search, Index Set, Relevance Feedback, Genetic Algorithms, Multimedia Data Objects, Ranking, Semantics Retrieval