Travel-Package Recommendation Model based on Collaborative Approach
نویسندگان
چکیده
منابع مشابه
A Personalized Travel Recommender Model Based on Content-based Prediction and Collaborative Recommendation
Mobile Recommender is the essential companion for a modern traveller. The collaborative travel recommender describes the architecture of a personalized mobile travel predictor by performing content-based filtering and inductive learning techniques depending on travel foot prints. Further the intelligent recommender is powered by collaborative techniques to resolve the multiarmed contextual band...
متن کاملTravel Package Recommendation System: A Literature Review
Travelling has become a very well known interest of people now a days, especially when many places own their explicit specialty. It has become a good source of monetary support for many nations. In the era of computers, electronics, information technology, now a day’s people who are not aware of peculiarities of places, rely on travel package recommender systems suggested by various sites and a...
متن کاملPersonalized Travel Package Recommendation Using Cocktail Algorithm
79 Abstract— As the worlds of business, entertainment, travel and Internet technology become more linked, new types of business data become available for creative use and formal analysis. This project provides a study of online travel information for personalized travel package suggestion to the best course of travel. A target along this line is to address the unique characteristics of travel d...
متن کاملmortality forecasting based on lee-carter model
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
15 صفحه اولQoS-based Web Service Recommendation using Popular-dependent Collaborative Filtering
Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users be in trouble in finding their appropriate web services. Therefore, it is required to provi...
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: International Journal for Research in Applied Science and Engineering Technology
سال: 2019
ISSN: 2321-9653
DOI: 10.22214/ijraset.2019.5625