Recurrent ALBERT for recommendation: A hybrid architecture for accurate and lightweight restaurant recommendations
The online recommendation system has benefited the traditional restaurant business
economically. However, finding the best restaurant during rush time and visiting new places …
economically. However, finding the best restaurant during rush time and visiting new places …
Mining mobile user preferences for personalized context-aware recommendation
Recent advances in mobile devices and their sensing capabilities have enabled the
collection of rich contextual information and mobile device usage records through the device …
collection of rich contextual information and mobile device usage records through the device …
MobiContext: A context-aware cloud-based venue recommendation framework
In recent years, recommendation systems have seen significant evolution in the field of
knowledge engineering. Most of the existing recommendation systems based their models …
knowledge engineering. Most of the existing recommendation systems based their models …
Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques
Recent advancements in web personalization techniques facilitate enhanced web-based
services that allow recommender systems (RSs) to incorporate contextual knowledge about …
services that allow recommender systems (RSs) to incorporate contextual knowledge about …
A personalized hybrid tourism recommender system
MEBH Kbaier, H Masri, S Krichen - 2017 IEEE/ACS 14th …, 2017 - ieeexplore.ieee.org
This paper focuses on building personalized recommender system in the tourism field. The
application recommends to a tourist the best attractions in a particular place according to his …
application recommends to a tourist the best attractions in a particular place according to his …
Xenia: A context aware tour recommendation system based on social network metadata information
M Korakakis, P Mylonas… - 2016 11th International …, 2016 - ieeexplore.ieee.org
Tour planning and point-of-interest (POI) recommendation are two challenging and time-
consuming tasks for tourists, predominately due to the large number of POIs a travel …
consuming tasks for tourists, predominately due to the large number of POIs a travel …
Tourism recommender system using machine learning based on user's public instagram photos
C Srisawatsakul, W Boontarig - 2020-5th International …, 2020 - ieeexplore.ieee.org
In the past decade, recommender systems have become an essential part of online services
such as NetFlix, YouTube, online shopping, etc. The tourism agencies such as TripAdvisor …
such as NetFlix, YouTube, online shopping, etc. The tourism agencies such as TripAdvisor …
[PDF][PDF] Towards an incremental recommendation of POIs for mobile tourists without profiles
Mobile tourism or m-tourism can assist and help tourists anywhere and anytime face the
overload of information that may appear in their smartphones. Indeed, these mobile users …
overload of information that may appear in their smartphones. Indeed, these mobile users …
A context-aware mobile recommender system based on location and trajectory
Recommender systems have typically been used in tourism applications to filter out
irrelevant information and to provide personalized recommendations to the users. With the …
irrelevant information and to provide personalized recommendations to the users. With the …
Personality-aware product recommendation system based on user interests mining and metapath discovery
A recommendation system is an integral part of any modern online shopping or social
network platform. The product recommendation system as a typical example of the legacy …
network platform. The product recommendation system as a typical example of the legacy …