TY - GEN
T1 - A Collaborative Filtering Algorithm of Weighted Information Entropy and User Attributes
AU - Wang, Xu
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/20
Y1 - 2017/9/20
N2 - Collaborative filtering algorithm is one of the most successful technologies in recommendation system, and similarity calculation is the core. To solve the problem that the traditional similarity calculation method is not accurate in the case of sparse data, a cooperative filtering recommendation algorithm combining weighted entropy and user attribute is proposed in this paper. This algorithm applies the information entropy theory in the information theory to the similarity calculation, and takes into account the influence of the user interest and user difference on the similarity calculation. The simulation results show that the algorithm has a smaller MAE value than the recommended algorithm based on Pearson correlation coefficient and the cosine similarity, thus it improves the recommended quality.
AB - Collaborative filtering algorithm is one of the most successful technologies in recommendation system, and similarity calculation is the core. To solve the problem that the traditional similarity calculation method is not accurate in the case of sparse data, a cooperative filtering recommendation algorithm combining weighted entropy and user attribute is proposed in this paper. This algorithm applies the information entropy theory in the information theory to the similarity calculation, and takes into account the influence of the user interest and user difference on the similarity calculation. The simulation results show that the algorithm has a smaller MAE value than the recommended algorithm based on Pearson correlation coefficient and the cosine similarity, thus it improves the recommended quality.
KW - collaborative filtering
KW - information entropy
KW - similarity calculation
KW - user attribute
UR - http://www.scopus.com/inward/record.url?scp=85034414541&partnerID=8YFLogxK
U2 - 10.1109/IHMSC.2017.103
DO - 10.1109/IHMSC.2017.103
M3 - Conference contribution
T3 - Proceedings - 9th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2017
SP - 422
EP - 425
BT - Proceedings - 9th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2017
Y2 - 26 August 2017 through 27 August 2017
ER -