A hybrid video recommendation system based on a graph-based algorithm

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Date

2010

Author

Öztürk, Gizem

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This thesis proposes the design, development and evaluation of a hybrid video recommendation system. The proposed hybrid video recommendation system is based on a graph algorithm called Adsorption. Adsorption is a collaborative filtering algorithm in which relations between users are used to make recommendations. Adsorption is used to generate the base recommendation list. In order to overcome the problems that occur in pure collaborative system, content based filtering is injected. Content based filtering uses the idea of suggesting similar items that matches user preferences. In order to use content based filtering, first, the base recommendation list is updated by removing weak recommendations. Following this, item similarities of the remaining list are calculated and new items are inserted to form the final recommendations. Thus, collaborative recommendations are empowered considering item similarities. Therefore, the developed hybrid system combines both collaborative and content based approaches to produce more effective suggestions.

Subject Keywords

Computer software., Graph algorithms.

URI

http://etd.lib.metu.edu.tr/upload/12612624/index.pdf
https://hdl.handle.net/11511/20168

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

G. Öztürk, “A hybrid video recommendation system based on a graph-based algorithm,” M.S. - Master of Science, Middle East Technical University, 2010.