17.1.3.8.6 Tourist Recommendations

Chapter Contents (Back)
Tourism.

Huang, H.S.[Hao-Sheng],
Context-Aware Location Recommendation Using Geotagged Photos in Social Media,
IJGI(5), No. 11, 2016, pp. 195.
DOI Link 1612
BibRef

Rawat, Y.S., Kankanhalli, M.S.,
ClickSmart: A Context-Aware Viewpoint Recommendation System for Mobile Photography,
CirSysVideo(27), No. 1, January 2017, pp. 149-158.
IEEE DOI 1701
Cameras BibRef

Nie, W.Z.[Wei-Zhi], Ding, H.[Hai], Song, D.[Dan], Long, X.J.[Xing-Jian],
Location emotion recognition for travel recommendation based on social network,
SIViP(13), No. 7, October 2019, pp. 1259-1266.
WWW Link. 1911
BibRef

Rajaonarivo, L.[Landy], Fonteles, A.[André], Sallaberry, C.[Christian], Bessagnet, M.N.[Marie-Noëlle], Roose, P.[Philippe], Etcheverry, P.[Patrick], Marquesuzaà, C.[Christophe], Lacayrelle, A.L.[Annig Le_Parc], Cayèré, C.[Cécile], Coudert, Q.[Quentin],
Recommendation of Heterogeneous Cultural Heritage Objects for the Promotion of Tourism,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Liu, C.Y.[Chun-Yang], Liu, J.P.[Ji-Ping], Wang, J.[Jian], Xu, S.H.[Sheng-Hua], Han, H.[Houzeng], Chen, Y.[Yang],
An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation,
IJGI(8), No. 8, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Liu, C.Y.[Chun-Yang], Liu, J.P.[Ji-Ping], Xu, S.H.[Sheng-Hua], Wang, J.[Jian], Liu, C.[Chao], Chen, T.Y.[Tian-Yang], Jiang, T.[Tao],
A Spatiotemporal Dilated Convolutional Generative Network for Point-of-Interest Recommendation,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Ameen, T.[Thaair], Chen, L.[Ling], Xu, Z.X.[Zhen-Xing], Lyu, D.D.[Dan-Dan], Shi, H.Y.[Hong-Yu],
A Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Han, S.S.[Shan-Shan], Liu, C.M.[Cui-Ming], Chen, K.Y.[Ke-Yun], Gui, D.W.[Da-Wei], Du, Q.Y.[Qing-Yun],
A Tourist Attraction Recommendation Model Fusing Spatial, Temporal, and Visual Embeddings for Flickr-Geotagged Photos,
IJGI(10), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Cao, B., Zhao, J., Lv, Z., Yang, P.,
Diversified Personalized Recommendation Optimization Based on Mobile Data,
ITS(22), No. 4, April 2021, pp. 2133-2139.
IEEE DOI 2104
Tensors, Optimization, Statistics, Sociology, Training, Linear programming, Evolutionary computation, tensor decomposition BibRef

Yu, D.J.[Dong-Jin], Shen, Y.[Yi], Xu, K.[Kaihui], Xu, Y.H.[Yi-Hang],
Context-Specific Point-of-Interest Recommendation Based on Popularity-Weighted Random Sampling and Factorization Machine,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Zhang, X.J.[Xiao-Jian], Yu, L.M.[Li-Min], Wang, M.J.[Min-Juan], Gao, W.L.[Wan-Lin],
FM-based: Algorithm research on rural tourism recommendation combining seasonal and distribution features,
PRL(150), 2021, pp. 297-305.
Elsevier DOI 2109
Rural tourism, Factorization machines, Geographical distribution recommendation BibRef

Zhou, X.[Xiao], Tian, J.P.[Jiang-Peng], Peng, J.[Jian], Su, M.Z.[Ming-Zhan],
A Smart Tourism Recommendation Algorithm Based on Cellular Geospatial Clustering and Multivariate Weighted Collaborative Filtering,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Yu, D.J.[Dong-Jin], Yu, T.[Ting], Wu, Y.[Yiyu], Liu, C.F.[Cheng-Fei],
Personalized recommendation of collective points-of-interest with preference and context awareness,
PRL(153), 2022, pp. 16-23.
Elsevier DOI 2201
Point of interest, POI Similarity, POI Recommendation, Personalized transfer, Collective POIs BibRef

Wang, X.[Xican], Liu, Y.H.[Yan-Heng], Zhou, X.[Xu], Wang, X.Y.[Xue-Ying], Leng, Z.Q.[Zhao-Qi],
A Point-of-Interest Recommendation Method Exploiting Sequential, Category and Geographical Influence,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Li, Y.[Yu], Xiong, F.[Fei], Wang, Z.Y.[Zi-Yi], Chen, Z.L.[Zu-Long], Xu, C.F.[Chuan-Fei], Yin, Y.[Yuyu], Zhou, L.[Li],
Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning,
ITS(23), No. 3, March 2022, pp. 2688-2700.
IEEE DOI 2203
Predictive models, Planning, Urban areas, Recommender systems, Fuses, Feature extraction, Estimation, High-order feature interaction, online travel planning BibRef

Yoon, G.[Gyugeun], Chow, J.Y.J.[Joseph Y. J.], Dmitriyeva, A.[Assel], Fay, D.[Daniel],
Effect of Routing Constraints on Learning Efficiency of Destination Recommender Systems in Mobility-on-Demand Services,
ITS(23), No. 5, May 2022, pp. 4021-4036.
IEEE DOI 2205
Routing, Recommender systems, Vehicle dynamics, Search engines, Urban areas, Heuristic algorithms, Vehicle routing, physical Internet BibRef

Wang, X.Y.[Xue-Ying], Liu, Y.H.[Yan-Heng], Zhou, X.[Xu], Leng, Z.Q.[Zhao-Qi], Wang, X.[Xican],
Long- and Short-Term Preference Modeling Based on Multi-Level Attention for Next POI Recommendation,
IJGI(11), No. 6, 2022, pp. xx-yy.
DOI Link 2206
location-based social networks. BibRef

Li, R.J.[Rui-Jing], Guo, J.Z.[Jian-Zhong], Liu, C.[Chun], Li, Z.[Zheng], Zhang, S.Q.[Shao-Qing],
Using Attributes Explicitly Reflecting User Preference in a Self-Attention Network for Next POI Recommendation,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Xu, S.Q.[Shu-Qiang], Huang, Q.Y.[Qun-Ying], Zou, Z.Q.[Zhi-Qiang],
Spatio-Temporal Transformer Recommender: Next Location Recommendation with Attention Mechanism by Mining the Spatio-Temporal Relationship between Visited Locations,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Zhou, Y.[Yan], Zhou, K.X.[Kai-Xuan], Chen, S.[Shuaixian],
Context-Aware Point-of-Interest Recommendation Based on Similar User Clustering and Tensor Factorization,
IJGI(12), No. 4, 2023, pp. 145.
DOI Link 2305
BibRef

Pan, X.[Xuan], Cai, X.R.[Xiang-Rui], Song, K.[Kehui], Baker, T.[Thar], Gadekallu, T.R.[Thippa Reddy], Yuan, X.J.[Xiao-Jie],
Location Recommendation Based on Mobility Graph With Individual and Group Influences,
ITS(24), No. 8, August 2023, pp. 8409-8420.
IEEE DOI 2308
Data models, History, Encoding, Predictive models, Analytical models, Deep learning, Context modeling, Location recommendation, mobility behaviors BibRef

Tian, J.[Jing], Zhao, Z.[Zilin], Ding, Z.M.[Zhi-Ming],
Next Point-of-Interest Recommendation Based on Joint Mining of Spatial-Temporal and Semantic Sequential Patterns,
IJGI(12), No. 7, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Liao, C.W.[Cheng-Wu], Chen, C.[Chao], Guo, S.M.[Sui-Ming], Wang, L.[Leye], Gu, F.Q.[Fu-Qiang], Luo, J.[Jing], Xu, K.[Ke],
Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework,
ITS(24), No. 11, November 2023, pp. 13228-13239.
IEEE DOI 2311
BibRef

Darapisut, S.[Sumet], Amphawan, K.[Komate], Leelathakul, N.[Nutthanon], Rimcharoen, S.[Sunisa],
A Hybrid POI Recommendation System Combining Link Analysis and Collaborative Filtering Based on Various Visiting Behaviors,
IJGI(12), No. 10, 2023, pp. 431.
DOI Link 2311
BibRef

Zhao, Y.[Yang], Wang, Z.[Zegen], Yong, Z.W.[Zhi-Wei], Xu, P.[Peng], Wang, Q.[Qian], Du, X.M.[Xue-Mei],
The Spatiotemporal Pattern Evolution and Driving Force of Tourism Information Flow in the Chengdu-Chongqing City Cluster,
IJGI(12), No. 10, 2023, pp. 414.
DOI Link 2311
BibRef

Du, J.F.[Jiang-Feng], Zhou, S.[Silin], Yu, J.[Jie], Han, P.[Peng], Shang, S.[Shuo],
Cross-Task Multimodal Reinforcement for Long Tail Next POI Recommendation,
MultMed(26), 2024, pp. 1996-2005.
IEEE DOI 2402
Task analysis, Tail, Trajectory, Data mining, Sun, Social networking (online), Markov processes, cross-task BibRef

Damos, M.A.[Mohamed A.], Zhu, J.[Jun], Li, W.[Weilian], Khalifa, E.[Elhadi], Hassan, A.[Abubakr], Elhabob, R.[Rashad], Hm, A.[Alaa], Ei, E.[Esra],
Enhancing the K-Means Algorithm through a Genetic Algorithm Based on Survey and Social Media Tourism Objectives for Tourism Path Recommendations,
IJGI(13), No. 2, 2024, pp. 40.
DOI Link 2402
BibRef

Wu, Y.X.[Yu-Xia], Zhao, G.[Guoshuai], Li, M.[Mingdi], Zhang, Z.[Zhuocheng], Qian, X.M.[Xue-Ming],
Reason Generation for Point of Interest Recommendation Via a Hierarchical Attention-Based Transformer Model,
MultMed(26), 2024, pp. 5511-5522.
IEEE DOI 2404
Transformers, Task analysis, Predictive models, Urban areas, Training, Planning, Explainable recommendation, recommender system BibRef

Karayazi, S.S.[Sevim Sezi], Dane, G.[Gamze], Arentze, T.[Theo],
Analyzing the Influence of Visitor Types on Location Choices and Revisit Intentions in Urban Heritage Destinations,
IJGI(13), No. 4, 2024, pp. 115.
DOI Link 2405
BibRef


He, T.Z.[Tong-Ze], Guo, C.[Caili], Chu, Y.F.[Yun-Fei],
Enhanced User Interest and Expertise Modeling for Expert Recommendation,
ICPR21(556-562)
IEEE DOI 2105
Knowledge discovery, Pattern recognition BibRef

Razavi, A., Hosseinali, F.,
A Multi Criteria Recommendation Model for Jaunt,
SMPR19(879-884).
DOI Link 1912
Tourist recommentation. BibRef

Wang, J.Y.[Jun-Yi], Bao, B.K.[Bing-Kun], Xu, C.S.[Chang-Sheng],
Sentiment-Aware Multi-modal Recommendation on Tourist Attractions,
MMMod19(I:3-16).
Springer DOI 1901
BibRef

Lee, C.M.[Ching May], Thomas, J.J.[J. Joshua],
Travel Route Recommendation Based on Geotagged Photo Metadata,
IVIC17(297-308).
Springer DOI 1711
BibRef

Fu, C.Y.[Cheng-Yao], Hu, M.C.[Min-Chun], Lai, J.H.[Jui-Hsin], Wang, H.[Hsuan], Wu, J.L.[Ja-Ling],
TravelBuddy: Interactive Travel Route Recommendation with a Visual Scene Interface,
MMMod14(I: 219-230).
Springer DOI 1405
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Activities, Sports, Planned Activities .


Last update:Jun 17, 2024 at 21:38:11