Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/3547
Title: | Slope One Meets Neighborhood: Revisiting Slope One Predictor in Collaborative Filtering |
Authors: | Shaw, Rabi Patra, Bidyut Kr. |
Keywords: | Collaborative framework(CF) slope one revisited person-alize recommendation |
Issue Date: | Sep-2020 |
Citation: | 6th International Conference on Mathematics and Computing, 2020 (ICMC 2020), Sikkim University, India, September 23-25, 2020 |
Abstract: | Collaborative filtering (CF) framework in recommendationis a very popular technique for providing personalized recommendation.Slope one predictor is a model based CF which has received good atten-tion from researchers and practitioners. In this paper, we revisit the slopeone predictor to incorporate strong features of neighbourhood based CFinto it for providing personalized recommendation to users. Preliminary results with two real world datasets are very promising. Proposed tech-nique outperforms original slope one and its performance is at par with a variant of slope one introduced recently. |
Description: | Copyright of this document is with publisher |
URI: | http://hdl.handle.net/2080/3547 |
Appears in Collections: | Conference Papers |
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PatraBICMC2020.pdf | 256.57 kB | Adobe PDF | View/Open |
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