Proceedings ArticleDOI
A Scrutable Algorithm for Enhancing the Efficiency of Recommender Systems using Fuzzy Decision Tree
Sharon J. Moses,L. D. Dhinesh Babu +1 more
- pp 27
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TLDR
By adapting the scrutable algorithm, users will be in a position to understand the transparency in recommending items which, in turn, will gain user trust and enhance the efficiency of recommender system.Abstract:
Recommender system plays the major role of filtering the needed information from enormous amount of overloaded information. From e-commerce to movie websites, recommender systems are being used for market their product to the customer. Also, recommender system gains user trust by suggesting the customer's products of interest based on the profile of the customer and other related information. So, when the recommender system goes wrong or suggests an irrelevant product, the customer will stop trusting and using the recommender system. This kind of scenario will affect the customer as well as the e-commerce and other websites that depends on recommender systems for boosting the sales. There is a significant need to correct the recommender system when it goes wrong, since, wrong recommendations will weaken the user trust and diminish the efficiency of the system. In this paper, we are defining a scrutable algorithm for enhancing the efficiency of recommender system based on fuzzy decision tree. Scrutable algorithm will correct the system and will work on enhancing the efficiency of the recommender system. By adapting the scrutable algorithm, users will be in a position to understand the transparency in recommending items which, in turn, will gain user trust.read more
Citations
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Journal ArticleDOI
User Modeling and User-Adapted Interaction
TL;DR: The abstract should not contain any undefined abbreviations or unspecified references, and work planned but not completed should not appear in the abstract.
Journal ArticleDOI
Evaluating Prediction Accuracy, Developmental Challenges, and Issues of Recommender Systems
Book ChapterDOI
Deep Learning Model Schemes to Address the Scrutability and In-Memory Purchase Issues in Recommender System
TL;DR: The deep learning models based recommendation scheme are framed to address the scrutability and in-memory purchase issue of the recommender system.
References
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Proceedings ArticleDOI
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