Discretization Based Framework to Improve the Recommendation Quality
نویسندگان
چکیده
منابع مشابه
A Novel Trust Computation Method Based on User Ratings to Improve the Recommendation
Today, the trust has turned into one of the most beneficial solutions to improve recommender systems, especially in the collaborative filtering method. However, trust statements suffer from a number of shortcomings, including the trust statements sparsity, users' inability to express explicit trust for other users in most of the existing applications, etc. Thus to overcome these problems, this ...
متن کاملMusic Recommendation System based on Unsupervised Discretization
Because of the revolution in the field of Internet and E-commerce, users are overwhelmed by choices either it may be a book or movie or Music etc. Recommendations systems are serving as one of the important tool to handle information overloading by providing recommendations to users. In this paper we proposed a method to handle music recommendation problem. Unsupervised discretization is used t...
متن کاملRecommendation for how to improve taking care of the elderly with covid-19
In this letter, we provide recommendations to improve taking care of the elderly with covid-19.
متن کاملA Quality Function Deployment Based Approach in Service Quality Analysis to Improve Customer Satisfaction
In metropolitan development management, quality of public services is influential in every public sector to satisfaction of citizens on quality of services. Nowadays, satisfaction are with such important matters that should be considered in the planning, implementation, management and maintenance of many public services such as subway, transportation, traffics, parks, markets and so on. Th...
متن کاملExperience-Based Critiquing: Reusing Critiquing Experiences to Improve Conversational Recommendation
Product recommendation systems are now a key part of many e-commerce services and have proven to be a successful way to help users navigate complex product spaces. In this paper, we focus on critiquing-based recommenders, which permit users to tweak the features of recommended products in order to refine their needs and preferences. In this paper, we describe a novel approach to reusing past cr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Arab Journal of Information Technology
سال: 2021
ISSN: 2309-4524,1683-3198
DOI: 10.34028/iajit/18/3/13