We propose a self-organized content-based Image Retrieval Network (IRN) that is inspired by a Metric Social Network (MSN) search system. The proposed network model is strictly dat...
Stanislav Barton, Vlastislav Dohnal, Jan Sedmidubs...
Similarity search in metric spaces is a general paradigm that can be used in several application fields. It can also be effectively exploited in content-based image retrieval syst...
This paper addresses the challenging problem of similarity search over widely distributed ultra-high dimensional data. Such an application is retrieval of the top-k most similar d...
The ability to utilize and benefit from today's explosion of social media sites depends on providing tools that allow users to productively participate. In order to participa...
Marc Smith, Vladimir Barash, Lise Getoor, Hady Wir...
Topic models such as aspect model or LDA have been shown as a promising approach for text modeling. Unlike many previous models that restrict each document to a single topic, topi...
Social bookmarking is the process through which users share tags for online resources like blogs with others. Such collaborative tags provide valuable metadata for retrieval syste...
Search engine researchers typically depict search as the solitary activity of an individual searcher. In contrast, results from our critical-incident survey of 150 users on Amazon...
The terms that are used by users during tagging have been found to be different from the terms that are used when searching for resources, which represents a fundamental problem f...
This paper presents an analysis of the correlation of annotated information unit (textual) tags and geographical identification metadata geotags. Despite the increased usage of ge...