Journal Article10.1016/J.ELERAP.2012.02.004
A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis
TL;DR: It is contended that implicit rating can successfully replace explicit rating in CF and that the hybrid approach of CF and SPA is better than the individual ones.
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About: This article is published in Electronic Commerce Research and Applications. The article was published on 01 Jul 2012. The article focuses on the topics: Recommender system & Collaborative filtering.
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References
Applications of wavelet data reduction in a recommender system
Stephen Russell,Victoria Y. Yoon +1 more
TL;DR: The impact of discrete wavelet transformation (DWT) as an approach to enhance the scalability of memory-based collaborative filtering recommender systems is examined and a wavelet transformed methodology is proposed and applied to both synthetic and real-world recommender ratings.
55
A Hybrid of Sequential Rules and Collaborative Filtering for Product Recommendation
Duen-Ren Liu,Chin-Hui Lai,Wang-Jung Lee +2 more
- 23 Jul 2007
TL;DR: This work proposes a novel hybrid recommendation method that combines the segmentation-based sequential rule method with the segmentations-based CF method, and results show that the hybrid method outperforms traditional CF methods.
An iterative semi-explicit rating method for building collaborative recommender systems
TL;DR: A novel iterative semi-explicit rating method that extrapolates unrated elements in a semi-supervised manner and preliminary simulation results show that the recommendation using the semi- Explicit rating data outperforms that of using the pure explicit data only.
50
Website browsing aid: A navigation graph-based recommendation system
Youwei Wang,Weihui Dai,Yufei Yuan +2 more
- 01 Jun 2008
TL;DR: A navigation graph-based recommendation system is proposed, in which the navigation patterns of previous website visitors are utilized to provide recommendations for newcomers, and experimental results reveal that the proposed system can yield satisfactory recommendations, especially to the visitors in their early navigation steps.
45
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
TL;DR: A CF-based recommendation methodology based on both implicit ratings and less ambitious ordinal scales is proposed, and a specific consensus model typically used in multi-criteria decision-making (MCDM) is employed to generate an ordinal scale-based customer profile.