Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2014.050909
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 5 Issue 9, 2014.
Abstract: This paper presents the graphical analysis of selection traces in matrix-factorization space of multimedia items. A trace consists of links (lines) between points that present a selected item during interaction between user and video-on-demand (VoD) system. User used gestures to select from among video on screen (VoD service), while additional user-produced social signal (SS) information was used to recommend more suitable new videos in the process of selection. We used a sample of 42 users, equally split into test (SS considered) and control and random (SS not considered) user groups. We assumed, for each user, there are areas of multimedia items in the matrix-factorization space that include preferred user items, called preferred areas. The results showed that user selection traces in the space of multimedia items (matrix-factorization space) better covered the user’s preferred areas of items if the SS of hesitation was considered.
Tomaž Vodlan and Andrej Košir, “Using Social Signal of Hesitation in Multimedia Content Retrieval” International Journal of Advanced Computer Science and Applications(IJACSA), 5(9), 2014. http://dx.doi.org/10.14569/IJACSA.2014.050909