This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh.From ancient time, service of any shop or business or the quality of any product got reputation by the users. When a user praised highly or badly about any product or service it created a butterfly effect of individual advertisement that reached far beyond the limit that the service/product provider could reach themselves . In classical period Books and newspapers have done this reviewing job and now this is again done by the individual user using various sites on the internet .By using this reputation new or undecided user of a particular product/service ...
AbstractOn the Internet, where the number of choices is overwhelming, there is need to filter, prior...
A reputation system computes and publishes reputation scores regarding any kind of entity (e.g. ser...
Abstract. Recommendation is a popular and hot problem in e-commerce. Recommendation systems are real...
AbstractA recommendation system tracks past actions of a group of users to make recommendations to i...
In our modern society, with the bourgeoning of e-commerce and online streaming platforms, customers ...
In recent years, there have been more and more enterprises using Web sites for marketing of various ...
Nowadays online shopping is emerging as a growth of business. Customers are getting used to purchasi...
This paper proposes an ontology-based user preferences Bayesian model (UPOBM) for user preferences p...
A recommendation system tracks past actions of a group of users to make recommendations to individua...
The current online product recommendation system based on reviews has many limitations due to random...
This thesis is about how Bayesian methods can be applied to explicitly model and efficiently reason ...
This thesis describes what recommendation systems are, what they are used for, how to build one, and...
Now a day’s recommendation systems are becoming more popular to recommend products for the individua...
In this emerging global economy, e-commerce is an inevitable part of the business strategy. Moreover...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
AbstractOn the Internet, where the number of choices is overwhelming, there is need to filter, prior...
A reputation system computes and publishes reputation scores regarding any kind of entity (e.g. ser...
Abstract. Recommendation is a popular and hot problem in e-commerce. Recommendation systems are real...
AbstractA recommendation system tracks past actions of a group of users to make recommendations to i...
In our modern society, with the bourgeoning of e-commerce and online streaming platforms, customers ...
In recent years, there have been more and more enterprises using Web sites for marketing of various ...
Nowadays online shopping is emerging as a growth of business. Customers are getting used to purchasi...
This paper proposes an ontology-based user preferences Bayesian model (UPOBM) for user preferences p...
A recommendation system tracks past actions of a group of users to make recommendations to individua...
The current online product recommendation system based on reviews has many limitations due to random...
This thesis is about how Bayesian methods can be applied to explicitly model and efficiently reason ...
This thesis describes what recommendation systems are, what they are used for, how to build one, and...
Now a day’s recommendation systems are becoming more popular to recommend products for the individua...
In this emerging global economy, e-commerce is an inevitable part of the business strategy. Moreover...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
AbstractOn the Internet, where the number of choices is overwhelming, there is need to filter, prior...
A reputation system computes and publishes reputation scores regarding any kind of entity (e.g. ser...
Abstract. Recommendation is a popular and hot problem in e-commerce. Recommendation systems are real...