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Analyzing the traces left by a meme of information propagating through a social network or by a user browsing a website can help to unveil the structure and dynamics of such complex networks. This may in turn open the door to concrete applications, such as finding influential users for a topic in a social network, or detecting the typical structure of a web browsing session that leads to a product...
The behaviour, goals, and intentions of users while searching for images in large scale online collections are not well understood, with image search log analysis providing limited insights, in part because they tend only to have access to user search and result click information. In this paper we study user search behaviour in a large photo-sharing platform, analyzing all user actions during search...
In general, user browsing behavior has been examined within specific tasks (e.g., search), or in the context of particular web sites or services ( e.g., in shopping sites). However, with the growth of social networks and the proliferation of many different types of web services ( e.g., news aggregators, blogs, forums, etc.), the web can be viewed as an ecosystem in which a user's actions in a particular...
This work describes a general approach to multimedia playlist generation and description and an application of the approach to music information retrieval. The example of system that we implemented updates a musical playlist on the fly based on prior information (musical preferences); current descriptors of the song that is being played; and fine-grained and semantically rich descriptors (descriptors...
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