Despite the many research efforts invested recently in peerto-peer search engines, none of the proposed system has reached the level of quality and efficiency of their centralized...
Pascal Felber, Toan Luu, Martin Rajman, Etienne Ri...
This paper experimentally studies approaches to the problem of ranking information resources w.r.t. user queries in peer-to-peer information retrieval. In distributed environments...
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...