Collaborative Filtering for Computer Social Network
using Discovery of user latent behaviour
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The main goal of publish this book to give information the technique that had used to extract and recognize the user later behavior from database of social network site (Facebook) and to explore two data sets were prepared. Moreover, based on the assignment hypotheses concerning shared interests of socially related users and people who browse the website in a similar manner were tested.In the first part of the work various techniques were described along SNA with examples of their possible use and research literature references. Then overview of commonly used data mining algorithm (ARM, LDA an...
The main goal of publish this book to give information the technique that had used to extract and recognize the user later behavior from database of social network site (Facebook) and to explore two data sets were prepared. Moreover, based on the assignment hypotheses concerning shared interests of socially related users and people who browse the website in a similar manner were tested.In the first part of the work various techniques were described along SNA with examples of their possible use and research literature references. Then overview of commonly used data mining algorithm (ARM, LDA and CC) techniques was presented together with possible means of their evaluation. In which user Social Network Communities' databases were analyzed.
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