Systematic review of contextual suggestion and recommendation systems for sustainable e-tourism
Agenda 2030 of Sustainable Development Goals (SDGs) 9 and 11 recognizes tourism as
one of the central industries to global development to tackle global challenges. With the …
one of the central industries to global development to tackle global challenges. With the …
[HTML][HTML] The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems
Abstract Point-of-interest (POI) recommendation is an essential service to location-based
social networks (LBSNs), benefiting both users providing them the chance to explore new …
social networks (LBSNs), benefiting both users providing them the chance to explore new …
[HTML][HTML] Leveraging social influence based on users activity centers for point-of-interest recommendation
Abstract Recommender Systems (RSs) aim to model and predict the user preference while
interacting with items, such as Points of Interest (POIs). These systems face several …
interacting with items, such as Points of Interest (POIs). These systems face several …
A systematic analysis on the impact of contextual information on point-of-interest recommendation
As the popularity of Location-based Social Networks increases, designing accurate models
for Point-of-Interest (POI) recommendation receives more attention. POI recommendation is …
for Point-of-Interest (POI) recommendation receives more attention. POI recommendation is …
DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation
Y Ma, M Gan - Expert Systems with Applications, 2021 - Elsevier
A remarkable progress in sequential recommendation field lies on deep learning
techniques, where deep learning was widely used to capture user preference from behavior …
techniques, where deep learning was widely used to capture user preference from behavior …
Mining multiple sequential patterns through multi-graph representation for next point-of-interest recommendation
M Gan, C Tan - World Wide Web, 2023 - Springer
Next point-of-interest (POI) recommendation is important for users to help them find
interesting venues to visit in the near future. Most previous work on this subject has …
interesting venues to visit in the near future. Most previous work on this subject has …
[HTML][HTML] On the effects of aggregation strategies for different groups of users in venue recommendation
Suggesting new venues to be visited by a user in a specific city remains an interesting but
challenging problem, partly because of the inherent high sparsity of the data available in …
challenging problem, partly because of the inherent high sparsity of the data available in …
Ontology construction from cross domain customer reviews using expectation maximization and semantic similarity
Recently, researchers are focusing more attention on cross-domain customer review based
ontology construction. It seems very little efforts have been taken to construct cross-domain …
ontology construction. It seems very little efforts have been taken to construct cross-domain …
[PDF][PDF] Point-of-interest recommender systems: A survey from an experimental perspective
Authors' addresses: Pablo Sánchez, Information Retrieval Group, Universidad Autónoma de
Madrid, Madrid, 28049, Spain, pablo. sanchezp@ uam. es; Alejandro Bellogín, Information …
Madrid, Madrid, 28049, Spain, pablo. sanchezp@ uam. es; Alejandro Bellogín, Information …
[PDF][PDF] Optimized Gated Recurrent Unit for Mid-Term Electricity Price Forecasting.
Electricity price forecasting (EPF) is important for energy system operations and
management which include strategic bidding, generation scheduling, optimum storage …
management which include strategic bidding, generation scheduling, optimum storage …