Research graph
References from MM-DIPR: perception-aware multimodal learning for tourism destination image understanding and recommendation. Local targets link to admitted publications; unresolved targets remain external evidence.
Survey article: inter-coder agreement for computational linguistics
10.1162/coli.07-034-r2 · 2008 · External reference
A model of destination image formation
10.1016/s0160-7383(99)00030-4 · 1999 · External reference
Paper recommender systems: a literature survey
10.1007/s00799-015-0156-0 · 2016 · External reference
Factors influencing destination image
10.1016/j.annals.2004.01.010 · 2004 · External reference
Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model
10.1080/00207543.2019.1706726 · 2020 · External reference
The concept of a tourist area cycle of evolution: implications for management of resources
10.1111/j.1541-0064.1980.tb00970.x · 1980 · External reference
The use of MMR, diversity-based reranking for reordering documents and producing summaries
1998 · External reference
Tourist decision-making and types of crises: risk attitudes, knowledge, and destination preference persistence
10.1177/10963480241310819 · 2026 · External reference
Friendship and mobility: user movement in location-based social networks
2011 · External reference
An assessment of the image of Mexico as a vacation destination and the influence of geographical location upon that image
10.1177/004728757901700404 · 1979 · External reference
Shape matching based on the enhancement of riemannian structure information
2020 · External reference
Overview of the TREC 2016 contextual suggestion track
2016 · External reference
Stgcn: a spatial-temporal aware graph learning method for poi recommendation
2020 · External reference
Sodret: instance retrieval using salient object detection for self-service shopping
10.1016/j.mlwa.2023.100523 · 2024 · External reference
VBPR: visual bayesian personalized ranking from implicit feedback
10.1609/aaai.v30i1.9973 · 2016 · External reference
LightGCN: simplifying and powering graph convolution network for recommendation
2020 · External reference
DeBERTaV3: improving DeBERTa using ELECTRA-style pre-training with gradient-disentangled embedding sharing
2023 · External reference
Efficient trajectory clustering with road network constraints based on spatiotemporal buffering
10.3390/ijgi12030117 · 2023 · External reference
Self-attentive sequential recommendation
2018 · External reference
The measurement of observer agreement for categorical data
10.2307/2529310 · 1977 · External reference
BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models
2023 · External reference
Geography-aware sequential location recommendation
2020 · External reference
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency
10.1007/s10115-017-1056-y · 2018 · External reference
Personalized point-of-interest recommendation by mining users’ preference transition
2013 · External reference
Tourism analytics with massive user-generated content: a case study of Barcelona
10.1016/j.jdmm.2015.06.004 · 2015 · External reference
Notes on continuous stochastic phenomena
10.2307/2332142 · 1950 · External reference
DINOv2: learning robust visual features without supervision
10.48550/arxiv.2304.07193 · 2024 · External reference
Unresolved reference
External reference
Unresolved reference
2014 · External reference
Learning transferable visual models from natural language supervision
2021 · External reference
BPR: bayesian personalized ranking from implicit feedback
2009 · External reference
Contrastive learning with hard negative samples
2021 · External reference
Visual destination images of Peru: comparative content analysis of DMO and user-generated photography
10.1016/j.tourman.2012.08.006 · 2013 · External reference
Unresolved reference
2019 · External reference
YFCC100M: the new data in multimedia research
10.1145/2812802 · 2016 · External reference
Representation learning with contrastive predictive coding
2018 · External reference
Wikidata: a free collaborative knowledgebase
10.1145/2629489 · 2014 · External reference
Kgat: knowledge graph attention network for recommendation
2019 · External reference
Google landmarks dataset v2 – a large-scale benchmark for instance-level recognition and retrieval
2020 · External reference
Unresolved reference
2023 · External reference
Predicting hotel demand using destination marketing organization’s web traffic data
10.1177/0047287513500391 · 2014 · External reference
A novel person re-identification network to address low-resolution problem in smart city context
10.1016/j.icte.2022.07.010 · 2023 · External reference
Unresolved reference
External reference
Evaluating recommender systems: survey and framework
10.1145/3556536 · 2022 · External reference
Sigmoid loss for language image pre-training
2023 · External reference
Explainable recommendation: a survey and new perspectives
10.1561/1500000066 · 2020 · External reference
Tourist gaze through computer vision: where, what, how and why?
10.1108/tr-04-2020-0185 · 2022 · External reference
A methodology for shape matching of non-rigid structures based on integrated graphical information
10.1016/j.displa.2022.102336 · 2023 · External reference
Unresolved reference
2015 · External reference
Places: a 10 million image database for scene recognition
10.1109/tpami.2017.2723009 · 2018 · External reference
