A COLLABORATIVE FILTERING RECOMMENDER SYSTEM FOR AN EDUCATIONAL ONLINE FORUM KAVIN RAJARAM PROJECT

A COLLABORATIVE
FILTERING
RECOMMENDER SYSTEM
FOR AN EDUCATIONAL
ONLINE FORUM

KAVIN RAJARAM

PROJECT
MASTER OF COMPUTER SCIENCE
IN
SOFTWARE ENGINEERING AND SOFTWARE ARCHITECTURE
MULTIMEDIA UNIVERSITY
FEBRUARY 2013

KAVIN RAJARAM

A COLLABORATIVE FILTERING
RECOMMENDER SYSTEM FOR AN
EDUCATIONAL ONLINE FORUM

MCS
2013

A COLLABORATIVE
FILTERING RECOMMENDER
SYSTEM FOR AN
EDUCATIONAL ONLINE
FORUM
BY

KAVIN RAJARAM
B.Tech IT

PROJECT SUBMITTED IN PARTIAL FULFILMENT OF
THE REQUIREMENT FOR THE DEGREE OF
MASTER OF COMPUTER SCIENCE IN
SOFTWARE ENGINEERING AND SOFTWARE ARCHITECTURE

IN THE
FACULTY OF COMPUTING
AND INFORMATICS

MULTIMEDIA UNIVERSITY
Faculty Of Engineering
MALAYSIA
FEBRUARY 2013

The copyright of this Project belongs to the author under the terms of the Copyright Act 1987 as qualified by Multimedia University Regulation
4.1. Due acknowledgement shall always be made of the use of any material contained in, or derived from, this Project.

© Kavin Rajaram, 2013
All rights reserved

ii

DECLARATION

I hereby declare that the work has been done by myself and no portion of the work contained in this Project has been submitted in support of any application for any other degree or qualification of this or any other university or institute of learning.

Kavin Rajaram

iii

ACKNOWLEDGEMENT

I owe a great many thanks to a great many people who helped me and supported me during the writing of this thesis.

I would like to express my deepest gratitude to my supervisor Dr.Khairil Imran Ghauth, for his valuable guidance and all the support he patiently rendered me throughout the completion of this report. Then I would like to thank my parents for their endless love and support which is the source of my motivation and inspiration. I would also like to thank all my friends and well wishers who helped me to complete this thesis.

Finally I would like to thank Faculty of Computing and Informatics

References: [2] Zheng Wen (2008) Using HMM. Computational and Information Sciences (ICCIS), 2012 Fourth International Conference, vol., no., pp.275-277. Inf. Syst. 22, 1 (January 2004), 5-53. Knowledge-Based Electronic Markets, Papers from the AAAI Workshop, Technical Report WS-00-04, AAAI Press, 2000. [10] Schafer, J.B., Konstan, J., & Riedi, J. (1999). Recommender systems in e-commerce. In Proceedings of the 1st ACM conference on Electronic commerce (EC '99). [11] Shardanand, U., & Maes, P. (1995). Social information filtering: algorithms for automating “word of mouth” [12] Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., & Riedl, J. (1994). GroupLens: an open architecture for collaborative filtering of netnews [13] Yanmin He, Tao Gan, Wufan Chen, & Houjun Wang. (2012). Multi-stage image denoising based on correlation coefficient matching and sparse dictionary pruning (January 2012), 139-149. DOI=10.1016/j.sigpro.2011.06.014, ACM.