Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective
P Sánchez, A Bellogín - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …
interest within the widely adopted technologies known as Recommender Systems. Among …
Mamo: Memory-augmented meta-optimization for cold-start recommendation
A common challenge for most current recommender systems is the cold-start problem. Due
to the lack of user-item interactions, the fine-tuned recommender systems are unable to …
to the lack of user-item interactions, the fine-tuned recommender systems are unable to …
A survey on recommender systems for Internet of Things: techniques, applications and future directions
Recommendation is a critical tool for developing and promoting the benefits of the Internet of
Things (IoT). In recent years, recommender systems have attracted considerable attention in …
Things (IoT). In recent years, recommender systems have attracted considerable attention in …
[HTML][HTML] A novel healthy and time-aware food recommender system using attributed community detection
Food recommendation systems aim to provide recommendations according to a user's diet,
recipes, and preferences. These systems are deemed useful for assisting users in changing …
recipes, and preferences. These systems are deemed useful for assisting users in changing …
A hybrid context-aware approach for e-tourism package recommendation based on asymmetric similarity measurement and sequential pattern mining
M Kolahkaj, A Harounabadi… - Electronic Commerce …, 2020 - Elsevier
Personalized travel package recommendation for tourists is an important task in the e-
Tourism field. With the excessive growth of data over the internet, it has become difficult to …
Tourism field. With the excessive growth of data over the internet, it has become difficult to …
Exploring an efficient POI recommendation model based on user characteristics and spatial-temporal factors
C Xu, D Liu, X Mei - Mathematics, 2021 - mdpi.com
The advent of mobile scenario-based consumption popularizes and gradually maturates the
application of point of interest (POI) recommendation services based on geographical …
application of point of interest (POI) recommendation services based on geographical …
Linked open data in location-based recommendation system on tourism domain: A survey
Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …
In the tourism domain, many studies are using linked open data to address the problem of …
Exploiting geographical-temporal awareness attention for next point-of-interest recommendation
With the prosperity of the location-based social networks, next point-of-interest (POI)
recommendation has become an increasingly significant requirement since it can benefit …
recommendation has become an increasingly significant requirement since it can benefit …
Knowledge-guided deep reinforcement learning for interactive recommendation
Interactive recommendation aims to learn from dynamic interactions between items and
users to achieve responsiveness and accuracy. Reinforcement learning is inherently …
users to achieve responsiveness and accuracy. Reinforcement learning is inherently …
SSL-SVD: semi-supervised learning--based sparse trust recommendation
Recommendation systems have been widely used in large e-commerce websites, but cold
start and data sparsity seriously affect the accuracy of recommendation. To solve these …
start and data sparsity seriously affect the accuracy of recommendation. To solve these …