• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 61 matches

• 2023
• 
  Emanuele Cavenaghi, Alessio Zanga, Alessandro Rimoldi, Paolo Minasi, Markus Zanker, Fabio Stella:
  Analysis of Relevant Factors in Online Hotel Recommendation Through Causal Models. RecTour@RecSys 2023: 1-9
• 
  Haya Halimeh, Florian Freese, Oliver Müller:
  Event Recommendations through the Lens of Vision and Language Foundation Models. RecTour@RecSys 2023: 39-60
• 
  Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim:
  BTRec: BERT-based Trajectory Recommendation for Personalized Tours. RecTour@RecSys 2023: 29-38
• 
  Hidetsugu Nanba, Satoshi Fukuda:
  Automatic Detection of Geotagged Food-Related Videos Using Aspect-Based Sentiment Analysis. RecTour@RecSys 2023: 10-17
• 
  Keisuke Otaki, Yukino Baba:
  Extended Travel Itinerary Datasets Towards Reproducibility. RecTour@RecSys 2023: 18-28
• 
  Justin Tolle, Alexander Piazza, Carolin Kaiser, René Schallner:
  Decision Support in Tourism through Social Robots: Design and Evaluation of a Conversation-Based Recommendation Approach Based on Tourist Segments. RecTour@RecSys 2023: 61-71
• 
  Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, Dmitri Goldenberg, Markus Zanker:
  Proceedings of the Workshop on Recommenders in Tourism co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore and Online, September 19, 2023. CEUR Workshop Proceedings 3568, CEUR-WS.org 2023 [contents]
• 2022
• 
  Abhishek Agarwal, Linus W. Dietz:
  Recommending the Duration of Stay in Personalized Travel Recommender Systems. RecTour@RecSys 2022: 1-20
• 
  Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
  An Online Experiment of a Price-Based Re-Rank Algorithm. RecTour@RecSys 2022: 83-91
• 
  Evripides Christodoulou, Andreas Gregoriades, Herodotos Herodotou, Maria Pampaka:
  Combination of User and Venue Personality with Topic Modelling in Restaurant Recommender Systems. RecTour@RecSys 2022: 21-36
• 
  Keisuke Otaki, Yukino Baba:
  Maximal Likelihood Itinerary Planning with User Interaction Data. RecTour@RecSys 2022: 37-46
• 
  Costas Panagiotakis, Evangelia Daskalaki, Harris Papadakis, Paraskevi Fragopoulou:
  The Tourist Trip Design Problem with POI Categories via an Expectation-Maximization Based Method. RecTour@RecSys 2022: 47-64
• 
  Chana Ross, Tomer Ovadia, Jake Mooney, Amit Meitin, Eytan Kabilou, Mush Kabalo, Dmitri Goldenberg:
  Democratizing Travel Personalization via Central Recommendation Platform. RecTour@RecSys 2022: 92-97
• 
  Errikos Streviniotis, Georgios Chalkiadakis:
  Multiwinner Election Mechanisms for Diverse Personalized Bayesian Recommendations for the Tourism Domain. RecTour@RecSys 2022: 65-82
• 
  Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, Dmitri Goldenberg, Markus Zanker:
  Proceedings of the Workshop on Recommenders in Tourism (RecTour 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA and Online, September 22, 2022. CEUR Workshop Proceedings 3219, CEUR-WS.org 2022 [contents]
• 2021
• 
  Gokulakrishnan Balakrishnan, Wolfgang Wörndl:
  Multistakeholder Recommender Systems in Tourism. RecTour@RecSys 2021: 39-53
• 
  Amine Dadoun, Raphaël Troncy, Michael Defoin-Platel, Gerardo Ayala Solano:
  Predicting Your Next Trip: A Knowledge Graph-Based Multi-task Learning Approach for Travel Destination Recommendation. RecTour@RecSys 2021: 23-38
• 
  Dmitri Goldenberg, Sarai Mizrachi, Adam Horowitz, Ioannis Kangas, Or Levkovich, Alessandro Mozzato, Maud Schwoerer, Michele Ferretti, Panagiotis Korvesis, Lucas Bernardi:
  I Know What You Did Next Summer: Challenges in Travel Destinations Recommendation. RecTour@RecSys 2021: 7-22
• 
  Ioannis Partalas, Anne Morvan, Ali Sadeghian, Shervin Minaee, Xinxin Li, Brooke Cowan, Daisy Zhe Wang:
  Hotel2vec: Learning Hotel Embeddings from User Click Sessions with Side Information. RecTour@RecSys 2021: 69-84
• 
  Yasmine Serdouk, Timothée Couble, Eric Couble, Cédric Marcone:
  Ski Resorts Recommendation using Deep Neural Networks. RecTour@RecSys 2021: 85-89
• 
  István Varga, Yuta Hayashibe:
  Addressing Overchoice: Automatically Generating Meaningful Filters from Hotel Reviews. RecTour@RecSys 2021: 54-68
• 
  Adam Woznica, Jan Krasnodebski:
  Presentation of the expedia group RecTour Research Dataset. RecTour@RecSys 2021: 1-6
• 
  Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, Markus Zanker:
  Proceedings of the Workshop on Recommenders in Tourism co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), Online, September 26, 2021. CEUR Workshop Proceedings 2974, CEUR-WS.org 2021 [contents]
• 2019
• 
  Linus W. Dietz, Saadi Myftija, Wolfgang Wörndl:
  Designing a Conversational Travel Recommender System Based on Data-Driven Destination Characterization. RecTour@RecSys 2019: 17-21
• 
  Ercan Ezin, Hugo Alcaraz-Herrera, Iván Palomares:
  Balancing Preferences, Popularity and Location in Context-Aware Restaurant Deal Recommendation: A Bristol Case Study. RecTour@RecSys 2019: 38-41
• 
  Ramón Hermoso, Sergio Ilarri, Raquel Trillo Lado:
  Re-CoSKQ: Towards POIs Recommendation Using Collective Spatial Keyword Queries. RecTour@RecSys 2019: 42-45
• 
  David Massimo, Francesco Ricci:
  Users' Evaluation of Next-POI Recommendations. RecTour@RecSys 2019: 1-8
• 
  Pavlos Mitsoulis-Ntompos, Meisam Hejazinia, Serena Zhang, Travis Brady:
  A Simple Deep Personalized Recommendation System. RecTour@RecSys 2019: 22-26
• 
  Leonhard Seyfang, Julia Neidhardt:
  A Framework for Recommender Systems Based on a Finite Multidimensional Model Space. RecTour@RecSys 2019: 27-31
• 
  Eoin Thomas, Antonio Gonzalez Ferrer, Benoit Lardeux, Mourad Boudia, Christian Haas-Frangii, Rodrigo Acuna-Agost:
  Cascaded Machine Learning Model for Efficient Hotel Recommendations from Air Travel Bookings. RecTour@RecSys 2019: 9-16

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