Image recommendation system based on social, semantic and visual characteristics
Journal Title: Romanian Journal of Human - Computer Interaction - Year 2011, Vol 4, Issue 1
Abstract
The article presents recommendation systems in terms of the most important aspects and types of algorithms used in different approaches and implementations, as well as issues which arise and need to be overcome. The application presented in this article was developed based on a combination of multiple ways to recommend images. The proposed model brings quality results using the following aspects of recommendation: social - by applying the concept of collaborative filtering, visual - by calculating the similarities between the visual features extracted from images, semantic - using metrics based on WordNet similarity between terms, and also by integrating a SVM classifier for recognition of scene types based on visual aspects. We present in detail the scientific methods and the architectural design used in our proposed system.
Authors and Affiliations
Maria Roditis, Andreea Tabacariu, Ştefan Trăuşan-Matu
Keywords
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