Journal of Applied Sciences ›› 2015, Vol. 33 ›› Issue (4): 407-418.doi: 10.3969/j.issn.0255-8297.2015.04.007
• Signal and Information Processing • Previous Articles Next Articles
HUANG Dong-jin, TANG Peng-bin, WANG Yin, DING You-dong
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Abstract: To meet individual needs of home design, a collaborative filtering recommendation algorithm based on interaction history is presented in this paper. The algorithm has been introduced into a mobile interactive 3D home design system. In the algorithm, user historical interaction behavior is analyzed, and a new user interest model built. The model converts user interaction behavior into a user interest matrix. To improve the recommendation quality, two furniture item characteristics, i.e., timeliness and resource relevance, are introduced into the generation process of the collaborative filtering recommendation algorithm. The recommended items are applied to 3D virtual home design scene. The home personalized design is completed by scene editing and virtual display. Experimental results show that the proposed method is feasible. It can effectively improve recommendation quality with better user experience and visual effects.
CLC Number:
TP391.9
HUANG Dong-jin, TANG Peng-bin, WANG Yin, DING You-dong. Personality-Oriented Recommendation and Virtual Display for 3D Home Design Based on Interaction History[J]. Journal of Applied Sciences, 2015, 33(4): 407-418.
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URL: https://www.jas.shu.edu.cn/EN/10.3969/j.issn.0255-8297.2015.04.007
https://www.jas.shu.edu.cn/EN/Y2015/V33/I4/407