On the use of spreading activation methods in automatic information
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Using information scent to model user information needs and actions and the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Effective site finding using link anchor information
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Emergent Semantics through Interaction in Image Databases
IEEE Transactions on Knowledge and Data Engineering
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Term Weighting Approaches in Automatic Text Retrieval
Term Weighting Approaches in Automatic Text Retrieval
ScentTrails: Integrating browsing and searching on the Web
ACM Transactions on Computer-Human Interaction (TOCHI)
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Automatic identification of user interest for personalized search
Proceedings of the 15th international conference on World Wide Web
Discovering user information goals with semantic website media modeling
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Video clip matching using MPEG-7 descriptors and edit distance
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Dynamic content-page identification for media-rich websites
Multimedia Tools and Applications
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Increasing use of media in web pages is fueling the metamorphosis of the WWW into a multimedia web. The development of information organization, analysis, and search technologies that enable people to efficiently find the specific information they require becomes especially important in this context. Determining the information goal of a user is a critical step in this direction. However, the information goal is typically subjective and latent. Its determination is further complicated in multimedia websites since the semantics of media-based information is context-based and emergent. Furthermore, interaction modalities with media are, unlike static link-based browsing, complex to analyze. In this paper we address the problem of automatically determining the content pages given the browsing behavior of a user. The content pages contain the information the user came to the site to find. Thus, their identification is a critical step in reasoning about user information goals. We propose an information theoretic approach that takes into account the organization of the web site, the multimedia information content, as well as the influence of a specific browsing pattern to identify one or more pages that putatively contain the information goal(s). This method can be used irrespective of whether the user has a single information goal or is looking to satisfy multiple information needs. Experimental investigations on media rich sites illustrate the efficacy of the technique and its potential in modeling user information needs and actions in a multimedia web.