Deep Learning-based Mobile Tourism Recommender System
نویسندگان
چکیده
منابع مشابه
A Grouping Hotel Recommender System Based on Deep Learning and Sentiment Analysis
Recommender systems are important tools for users to identify their preferred items and for businesses to improve their products and services. In recent years, the use of online services for selection and reservation of hotels have witnessed a booming growth. Customer’ reviews have replaced the word of mouth marketing, but searching hotels based on user priorities is more time-consuming. This s...
متن کاملMobile recommender systems in tourism
Recommender Systems (RS) have been extensively utilized as a means of reducing the information overload and offering travel recommendations to tourists. The emerging mobile RSs are tailored to mobile device users and promise to substantially enrich tourist experiences, recommending rich multimedia content, context‐aware services, views/ratings of peer u...
متن کاملA Trajectory-Based Recommender System for Tourism
Recommendation systems provide focused information to users on a set of objects belonging to a specific domain. The proposed recommender system provides personalized suggestions about touristic points of interest. The system generates recommendations, consisting of touristic places, according to the current position of a tourist and previously collected data describing tourist movements in a to...
متن کاملA mobile 3D-GIS hybrid recommender system for tourism
The amount of touristic and travel information existing on the Internet is overwhelming. Recommender systems are typically used to filter irrelevant information and to provide personalized and relevant services to tourists. In this context, mobile devices are particularly useful because of their ubiquitous nature that turns them into an attractive platform for assisting on-the-move tourists to ...
متن کاملDeep Learning based Recommender System: A Survey and New Perspectives
With the ever-growing volume, complexity and dynamicity of online information, recommender system has been an eective key solution to overcome such information overload. In recent years, deep learning’s revolutionary advances in speech recognition, image analysis and natural language processing have gained signicant aention. Meanwhile, recent studies also demonstrate its eectiveness in copi...
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: Scientific Journal of Informatics
سال: 2021
ISSN: 2460-0040,2407-7658
DOI: 10.15294/sji.v8i1.29262