Tourism recommendation system: a survey and future research directions

[1]  Abhishek Majumder,et al.  A new point-of-interest approach based on multi-itinerary recommendation engine , 2021, Expert Syst. Appl..

[2]  Ali Kashif Bashir,et al.  Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges , 2021, Complex & Intelligent Systems.

[3]  Wataru Yamada,et al.  Generic POI recommendation , 2020, UbiComp/ISWC Adjunct.

[4]  Hao Chen,et al.  Multi-level feature learning with attention for person re-identification , 2020, Multimedia Tools and Applications.

[5]  Wei Guo,et al.  A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data , 2020, WWW.

[6]  Sudipta Roy,et al.  MULTITOUR: A multiple itinerary tourists recommendation engine , 2020, Electron. Commer. Res. Appl..

[7]  Ana Paula Couto da Silva,et al.  Fine-grained tourism prediction: Impact of social and environmental features , 2020, Inf. Process. Manag..

[8]  María del Rocío Martínez-Torres,et al.  A machine learning approach for the identification of the deceptive reviews in the hospitality sector using unique attributes and sentiment orientation , 2019, Tourism Management.

[9]  Srinivasan Parthasarathy,et al.  EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services , 2019, IJCAI.

[10]  Gang Chen,et al.  One net to rule them all: efficient recognition and retrieval of POI from geo-tagged photos , 2019, Multimedia Tools and Applications.

[11]  Tianlong Gu,et al.  A personalized POI route recommendation system based on heterogeneous tourism data and sequential pattern mining , 2019, Multimedia Tools and Applications.

[12]  Sung-Byung Yang,et al.  Exploring the effect of heuristic factors on the popularity of user-curated 'Best places to visit' recommendations in an online travel community , 2019, Inf. Process. Manag..

[13]  Maryam Khanian Najafabadi,et al.  An impact of time and item influencer in collaborative filtering recommendations using graph-based model , 2019, Inf. Process. Manag..

[14]  Wen Zhou,et al.  Personalized recommendation via user preference matching , 2019, Inf. Process. Manag..

[15]  Haotian Wu,et al.  Innovation and improvement of visual communication design of mobile app based on social network interaction interface design , 2019, Multimedia Tools and Applications.

[16]  Jiuyang Tang,et al.  Improving POI Recommendation via Dynamic Tensor Completion , 2018, Sci. Program..

[17]  Jing Li,et al.  STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation , 2018, Neurocomputing.

[18]  Haithem Mezni,et al.  Time‐aware service recommendation: Taxonomy, review, and challenges , 2018, Softw. Pract. Exp..

[19]  Fabio Crestani,et al.  Personalized Context-Aware Point of Interest Recommendation , 2018, ACM Trans. Inf. Syst..

[20]  Hui Xiong,et al.  Time-aware metric embedding with asymmetric projection for successive POI recommendation , 2018, World Wide Web.

[21]  Haithem Mezni,et al.  A negotiation‐based service selection approach using swarm intelligence and kernel density estimation , 2018, Softw. Pract. Exp..

[22]  Namho Chung,et al.  Do online information sources really make tourists visit more diverse places?: Based on the social networking analysis , 2018, Inf. Process. Manag..

[23]  Seong-Bae Park,et al.  Point of interest mining with proper semantic annotation , 2017, Multimedia Tools and Applications.

[24]  Theodoros Lappas,et al.  Personalized multi-period tour recommendations , 2017 .

[25]  Yifeng Zeng,et al.  Using function approximation for personalized point-of-interest recommendation , 2017, Expert Syst. Appl..

[26]  Mingming Jiang,et al.  A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization , 2017, ACM Trans. Inf. Syst..

[27]  Ying Yu,et al.  Research Article Statistical Modeling and Prediction for Tourism Economy Using Dendritic Neural Network , 2022 .

[28]  Joemon M. Jose,et al.  Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation , 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

[29]  Alex Pentland,et al.  Managing travel demand: Location recommendation for system efficiency based on mobile phone data , 2016, ArXiv.

[30]  Yacine Ghamri-Doudane,et al.  OAISIS: An ontological-based approach for interlinking CrowdSensing information systems , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[31]  Hao Wang,et al.  Adapting to User Interest Drift for POI Recommendation , 2016, IEEE Transactions on Knowledge and Data Engineering.

[32]  Michael R. Lyu,et al.  A Survey of Point-of-interest Recommendation in Location-based Social Networks , 2016, ArXiv.

[33]  Hui Ding,et al.  Route planning in a new tourist recommender system: A fireworks algorithm based approach , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

[34]  Christopher Leckie,et al.  Towards Next Generation Touring: Personalized Group Tours , 2016, ICAPS.

[35]  Michael R. Lyu,et al.  STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation , 2016, AAAI.

[36]  Bin Guo,et al.  Personalized Travel Package With Multi-Point-of-Interest Recommendation Based on Crowdsourced User Footprints , 2016, IEEE Transactions on Human-Machine Systems.

[37]  Christopher Leckie,et al.  Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations , 2015, IJCAI.

[38]  Wei Wang,et al.  Recommender system application developments: A survey , 2015, Decis. Support Syst..

[39]  Ling Bian,et al.  Using Ontologies and Formal Concept Analysis to Integrate Heterogeneous Tourism Information , 2015, IEEE Transactions on Emerging Topics in Computing.

[40]  Raffaele Perego,et al.  On planning sightseeing tours with TripBuilder , 2015, Inf. Process. Manag..

[41]  Shou-De Lin,et al.  Trip Router: A Time-Sensitive Route Recommender System , 2014, 2014 IEEE International Conference on Data Mining Workshop.

[42]  Antonio Moreno,et al.  Intelligent tourism recommender systems: A survey , 2014, Expert Syst. Appl..

[43]  Konstantinos Demestichas,et al.  A Location Recommender System for Location-Based Social Networks , 2014, 2014 International Conference on Mathematics and Computers in Sciences and in Industry.

[44]  Andreas Butz,et al.  Is Anyone Looking? Mitigating Shoulder Surfing on Public Displays through Awareness and Protection , 2014, PerDis.

[45]  Saul Greenberg,et al.  Is anyone looking?: mediating shoulder surfing on public displays (the video) , 2014, CHI Extended Abstracts.

[46]  Charalampos Konstantopoulos,et al.  A survey on algorithmic approaches for solving tourist trip design problems , 2014, Journal of Heuristics.

[47]  Laura Sebastia,et al.  A negotiation framework for heterogeneous group recommendation , 2014, Expert Syst. Appl..

[48]  Ying Liu,et al.  Behavior Identification Based on Geotagged Photo Data Set , 2014, TheScientificWorldJournal.

[49]  Raffaele Perego,et al.  Where shall we go today?: planning touristic tours with tripbuilder , 2013, CIKM.

[50]  Tomoharu Iwata,et al.  Travel route recommendation using geotagged photos , 2013, Knowledge and Information Systems.

[51]  Duc-Cuong Dang,et al.  An effective PSO-inspired algorithm for the team orienteering problem , 2013, Eur. J. Oper. Res..

[52]  G. Ráthonyi INFLUENCE OF SOCIAL MEDIA ON TOURISM – ESPECIALLY AMONG STUDENTS OF THE UNIVERSITY OF DEBRECEN , 2013 .

[53]  María N. Moreno García,et al.  A hybrid recommendation approach for a tourism system , 2013, Expert Syst. Appl..

[54]  Guy Shani,et al.  Recommending improved configurations for complex objects with an application in travel planning , 2013, RecSys.

[55]  Eero Hyvönen,et al.  SMARTMUSEUM: A mobile recommender system for the Web of Data , 2013, J. Web Semant..

[56]  Kevin Curran,et al.  Context-aware intelligent recommendation system for tourism , 2013, 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[57]  David Sánchez,et al.  An automatic approach for ontology-based feature extraction from heterogeneous textualresources , 2013, Eng. Appl. Artif. Intell..

[58]  Shizhan Chen,et al.  Automatic Clustering of Social Tag using Community Detection , 2013 .

[59]  Ickjai Lee,et al.  Points-of-Interest Mining from People's Photo-Taking Behavior , 2013, 2013 46th Hawaii International Conference on System Sciences.

[60]  Luis Alfonso Ureña López,et al.  GeOasis: A knowledge-based geo-referenced tourist assistant , 2012, Expert Syst. Appl..

[61]  Yang Guo,et al.  On top-k recommendation using social networks , 2012, RecSys.

[62]  Xing Xie,et al.  Discovering regions of different functions in a city using human mobility and POIs , 2012, KDD.

[63]  Antonio Moreno,et al.  Ontology-Based Management of Uncertain Preferences in User Profiles , 2012, IPMU.

[64]  K. Alonso,et al.  Ontology-based tourism for all recommender and information retrieval system for Interactive Community Displays , 2012, 2012 8th International Conference on Information Science and Digital Content Technology (ICIDT2012).

[65]  David Sánchez,et al.  Turist@: Agent-based personalised recommendation of tourist activities , 2012, Expert Syst. Appl..

[66]  Fang-Ming Hsu,et al.  Design and implementation of an intelligent recommendation system for tourist attractions: The integration of EBM model, Bayesian network and Google Maps , 2012, Expert Syst. Appl..

[67]  Hui Xiong,et al.  Personalized Travel Package Recommendation , 2011, 2011 IEEE 11th International Conference on Data Mining.

[68]  Jiebo Luo,et al.  Diversified Trajectory Pattern Ranking in Geo-tagged Social Media , 2011, SDM.

[69]  Hong-Yuan Mark Liao,et al.  Personalized travel recommendation by mining people attributes from community-contributed photos , 2011, ACM Multimedia.

[70]  Stanley Loh,et al.  Enhancing the Quality of Recommendations through Expert and Trusted Agents , 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

[71]  Damianos Gavalas,et al.  A web-based pervasive recommendation system for mobile tourist guides , 2011, Personal and Ubiquitous Computing.

[72]  George Athanasopoulos,et al.  Modelling Australian Domestic and International Inbound Travel: a Spatial-temporal Approach , 2011 .

[73]  Ricardo Colomo Palacios,et al.  Sem-Fit: A semantic based expert system to provide recommendations in the tourism domain , 2011, Expert Syst. Appl..

[74]  Jie Lu,et al.  A hybrid trust‐enhanced collaborative filtering recommendation approach for personalized government‐to‐business e‐services , 2011, Int. J. Intell. Syst..

[75]  Stanley Loh,et al.  PersonalTour: A Recommender System for Travel Packages , 2011, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

[76]  Vincenzo Loia,et al.  A hybrid context aware system for tourist guidance based on collaborative filtering , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[77]  Marcel J. T. Reinders,et al.  Personalised Travel Recommendation based on Location Co-occurrence , 2011, ArXiv.

[78]  Eric Hsueh-Chan Lu,et al.  Trip-Mine: An Efficient Trip Planning Approach with Travel Time Constraints , 2011, 2011 IEEE 12th International Conference on Mobile Data Management.

[79]  Chinya V. Ravishankar,et al.  Finding Regions of Interest from Trajectory Data , 2011, 2011 IEEE 12th International Conference on Mobile Data Management.

[80]  Guosun Zeng,et al.  Bayesian intelligent semantic mashup for tourism , 2011, Concurr. Comput. Pract. Exp..

[81]  Dirk Van Oudheusden,et al.  The City Trip Planner: An expert system for tourists , 2011, Expert Syst. Appl..

[82]  Laura Sebastia,et al.  On the design of individual and group recommender systems for tourism , 2011, Expert Syst. Appl..

[83]  Xing Xie,et al.  Smart Itinerary Recommendation Based on User-Generated GPS Trajectories , 2010, UIC.

[84]  Yue Gao,et al.  W2Go: a travel guidance system by automatic landmark ranking , 2010, ACM Multimedia.

[85]  Changhu Wang,et al.  Photo2Trip: generating travel routes from geo-tagged photos for trip planning , 2010, ACM Multimedia.

[86]  Olatz Arbelaitz,et al.  Personalized Tourist Route Generation , 2010, ICWE Workshops.

[87]  Ying Tan,et al.  Fireworks Algorithm for Optimization , 2010, ICSI.

[88]  Lars Schmidt-Thieme,et al.  Factorizing personalized Markov chains for next-basket recommendation , 2010, WWW '10.

[89]  Cong Yu,et al.  Constructing travel itineraries from tagged geo-temporal breadcrumbs , 2010, WWW '10.

[90]  Rafael Corchuelo,et al.  Trends in Practical Applications of Agents and Multiagent Systems , 2010 .

[91]  Martin Ester,et al.  Using a trust network to improve top-N recommendation , 2009, RecSys '09.

[92]  Ismael Rivera,et al.  SPETA: Social pervasive e-Tourism advisor , 2009, Telematics Informatics.

[93]  Keiichi Yasumoto,et al.  A method for composing tour schedules adaptive to weather change , 2009, 2009 IEEE Intelligent Vehicles Symposium.

[94]  SongJie Gong,et al.  Combining Memory-Based and Model-Based Collaborative Filtering in Recommender System , 2009, 2009 Pacific-Asia Conference on Circuits, Communications and Systems.

[95]  Chang-Shing Lee,et al.  Ontological recommendation multi-agent for Tainan City travel , 2009, Expert Syst. Appl..

[96]  Luigi Ceccaroni,et al.  PaTac: Urban, Ubiquitous, Personalized Services for Citizens and Tourists , 2009, 2009 Third International Conference on Digital Society.

[97]  Laura Sebastia,et al.  e-Tourism: A Tourist Recommendation and Planning Application , 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

[98]  Lluis Godo,et al.  A Tourism Recommender Agent: from theory to practice , 2008, Inteligencia Artif..

[99]  Dirk Van Oudheusden,et al.  A PERSONALIZED TOURIST TRIP DESIGN ALGORITHM FOR MOBILE TOURIST GUIDES , 2008, Appl. Artif. Intell..

[100]  Kamal Kant Bharadwaj,et al.  Fuzzy-genetic approach to recommender systems based on a novel hybrid user model , 2008, Expert Syst. Appl..

[101]  Ming-Syan Chen,et al.  Recommending personalized scenic itinerarywith geo-tagged photos , 2008, 2008 IEEE International Conference on Multimedia and Expo.

[102]  Jesus Boticario,et al.  samap: An user-oriented adaptive system for planning tourist visits , 2008, Expert Syst. Appl..

[103]  Kyoung-jae Kim,et al.  A recommender system using GA K-means clustering in an online shopping market , 2008, Expert Syst. Appl..

[104]  Tao Li,et al.  Recommendation model based on opinion diffusion , 2007, ArXiv.

[105]  Dirk Van Oudheusden,et al.  The Mobile Tourist Guide: An OR Opportunity , 2007, OR Insight.

[106]  Jungwon Cho,et al.  Personalization Method for Tourist Point of Interest (POI) Recommendation , 2006, KES.

[107]  Liu Wei-guo,et al.  An Urban Tourism Intelligent Recommendation System Based on WebGIS , 2006, 2006 International Conference on Management Science and Engineering.

[108]  Chun-Chia Lee,et al.  AIMED- A Personalized TV Recommendation System , 2006, EuroITV.

[109]  Qiang Yang,et al.  Scalable collaborative filtering using cluster-based smoothing , 2005, SIGIR '05.

[110]  Keiichi Yasumoto,et al.  A personal tourism navigation system to support traveling multiple destinations with time restrictions , 2004, 18th International Conference on Advanced Information Networking and Applications, 2004. AINA 2004..

[111]  Derry O'Sullivan,et al.  Preserving recommender accuracy and diversity in sparse datasets , 2004, Int. J. Artif. Intell. Tools.

[112]  Thad Starner,et al.  Using GPS to learn significant locations and predict movement across multiple users , 2003, Personal and Ubiquitous Computing.

[113]  Xin Jin,et al.  Semantically Enhanced Collaborative Filtering on the Web , 2003, EWMF.

[114]  Liliana Ardissono,et al.  Intrigue: Personalized recommendation of tourist attractions for desktop and hand held devices , 2003, Appl. Artif. Intell..

[115]  Barry Smyth,et al.  Sparsity Reduction in Collaborative Recommendation: A Case-Based Approach , 2003, Int. J. Pattern Recognit. Artif. Intell..

[116]  Aïda Valls,et al.  Thesis: ClusDM: a Multiple Criteria Decision Method for heterogeneous data sets , 2003, AI Commun..

[117]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[118]  Gregory D. Abowd,et al.  A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications , 2001, Hum. Comput. Interact..

[119]  Barry Smyth,et al.  A personalised TV listings service for the digital TV age , 2000, Knowl. Based Syst..

[120]  Michael J. Pazzani,et al.  User Modeling for Adaptive News Access , 2000, User Modeling and User-Adapted Interaction.

[121]  Michael J. Pazzani,et al.  A Framework for Collaborative, Content-Based and Demographic Filtering , 1999, Artificial Intelligence Review.

[122]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[123]  Wolfgang Wörndl,et al.  Integrating Public Displays into Tourist Trip Recommender Systems , 2018, RecTour@RecSys.

[124]  Linus W. Dietz,et al.  Recommending Crowdsourced Travels on wOndary , 2018, RecTour@RecSys.

[125]  Nava Tintarev,et al.  TourExplain: A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists , 2018, RecTour@RecSys.

[126]  Maria A. Zuluaga,et al.  Understanding Customer Choices to Improve Recommendations in the Air Travel Industry , 2018, RecTour@RecSys.

[127]  Mohan S. Kankanhalli,et al.  ClickSmart: A Context-Aware Viewpoint Recommendation System for Mobile Photography , 2017, IEEE Transactions on Circuits and Systems for Video Technology.

[128]  Elena Baralis,et al.  Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks , 2017, RecTour@RecSys.

[129]  Victor Anthony Arrascue Ayala,et al.  A Delay-Robust Touristic Plan Recommendation Using Real-World Public Transportation Information , 2017, RecTour@RecSys.

[130]  Wolfgang Wörndl,et al.  Context-Aware Tourist Trip Recommendations , 2017, RecTour@RecSys.

[131]  Kwan Hui Lim,et al.  Recommending and Planning Trip Itineraries for Individual Travellers and Groups of Tourists , 2016 .

[132]  Kwan Hui Lim Personalized Recommendation of Travel Itineraries based on Tourist Interests and Preferences , 2016, UMAP.

[133]  Ling Chen,et al.  A system for mining interesting tourist locations and travel sequences from public geo-tagged photos , 2015, Data Knowl. Eng..

[134]  Nuria Oliver,et al.  Data Mining Methods for Recommender Systems , 2015, Recommender Systems Handbook.

[135]  Nuno Leite,et al.  GuideMe – A Tourist Guide with a Recommender System and Social Interaction , 2014 .

[136]  San-Yih Hwang,et al.  iTravel: A recommender system in mobile peer-to-peer environment , 2013, J. Syst. Softw..

[137]  Antonio Moreno,et al.  SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities , 2013, Eng. Appl. Artif. Intell..

[138]  Günther R. Raidl,et al.  A Mixed Integer Model for the Stamina-Aware Sightseeing Tour Problem , 2013 .

[139]  Chris D. Nugent,et al.  High-level geospatial information discovery and fusion for geocoded multimedia , 2013, Int. J. Pervasive Comput. Commun..

[140]  Sophie Ahrens,et al.  Recommender Systems , 2012 .

[141]  Xing Xie,et al.  Learning travel recommendations from user-generated GPS traces , 2011, TIST.

[142]  Miguel Ángel García Cumbreras,et al.  Otiŭm: A web based planner for tourism and leisure , 2011, Expert Syst. Appl..

[143]  Juana María Ruiz-Martínez,et al.  ONTOLOGY POPULATION : AN APPLICATION FOR THE E-TOURISM DOMAIN , 2011 .

[144]  María Teresa Linaza,et al.  Image-based Travel Recommender System for small tourist destinations , 2011, ENTER.

[145]  Adriana Giret,et al.  A Multi Agent Architecture for Tourism Recommendation , 2010, PAAMS.

[146]  Quang Nhat Nguyen,et al.  Exploiting a Map-Based Interface in Conversational Recommender Systems for Mobile Travelers , 2010 .

[147]  Helmut Berger,et al.  Itchy Feet: A 3D E-Tourism Environment , 2010 .

[148]  Soumya Banerjee,et al.  Developing an Adaptive Learning Based Tourism Information System Using Ant Colony Metaphor , 2010, Computational Intelligence for Technology Enhanced Learning.

[149]  Ling Bian,et al.  A Bayesian network and analytic hierarchy process based personalized recommendations for tourist attractions over the Internet , 2009, Expert Syst. Appl..

[150]  Matthew O. Adigun,et al.  Building an Ontology-Based Framework for Tourism Recommendation Services , 2009, ENTER.

[151]  Dietmar Jannach,et al.  Developing Knowledge-Based Travel Advisor Systems: A Case Study , 2009 .

[152]  Aurkene Alzua-Sorzabal,et al.  Human-centric Ontology-based Context Modelling in Tourism , 2009, KEOD.

[153]  Swagatam Das,et al.  Automatic Clustering Using an Improved Differential Evolution Algorithm , 2007 .

[154]  Michael J. Pazzani,et al.  Content-Based Recommendation Systems , 2007, The Adaptive Web.

[155]  Jozo J. Dujmovic,et al.  LSP method and its use for evaluation of Java IDEs , 2006, Int. J. Approx. Reason..

[156]  Dunja Mladenic,et al.  Web Mining: From Web to Semantic Web , 2004, Lecture Notes in Computer Science.

[157]  Stanley Loh,et al.  A Tourism Recommender System Based on Collaboration and Text Analysis , 2003, J. Inf. Technol. Tour..