Fetching the paper…
Reading the bibliography…
In the year 2019, the Recommender Systems Challenge deals with a real-world task from the area of e-tourism for the first time, namely the recommendation of hotels in booking sessions.
D. Bamber, “The area above the ordinal dominance graph and the area below the receiver operating characteristic graph,” Journal of Mathematical Psychology
1975
Earlier work this paper cites.
K. Järvelin and J. Kekäläinen, “Cumulated gain-based evaluation of ir techniques,” ACM Trans. Inf. Syst
2002
Earlier work this paper cites.
F. H. del Olmo and E. Gaudioso, “Evaluation of recommender systems: A new approach,” Expert Systems with Applications
2008
Earlier work this paper cites.
G. Koutrika, B. Bercovitz, and H. Garcia-Molina, “Flexrecs: expressing and combining flexible recommendations,” in Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2009, Providence, Rhode Island, USA, June 29 - July 2, 2009
2009
Earlier work this paper cites.
M. Ge, C. Delgado-Battenfeld, and D. Jannach, “Beyond accuracy: evaluating recommender systems by coverage and serendipity,” in Proceedings of the 2010 ACM Conference on Recommender Systems, RecSys 2010, Barcelona, Spain, September 26-30, 2010
2010
Earlier work this paper cites.
L. Chen, G. Chen, and F. Wang, “Recommender systems based on user reviews: the state of the art,” User Model. User-Adapt. Interact
2015
Earlier work this paper cites.
D. Jannach and G. Adomavicius, “Recommendations with a purpose,” in Proceedings of the 10th ACM Conference on Recommender Systems
2016
Earlier work this paper cites.
J. Krasnodebski and J. Dines, “Considering supplier relations and monetization in designing recommendation systems,” in Proceedings of the 10th ACM Conference on Recommender Systems
2016
Cited alongside, same era.
New York, NY, USA: Cambridge University Press, 1st ed., 2016
D. K. Agarwal and B.-C. Chen, Statistical Methods for Recommender Systems · 2016
Cited alongside, same era.
R. D. Burke, G. Adomavicius, I. Guy, J. Krasnodebski, L. A. Pizzato, Y. Zhang, and H. Abdollahpouri, “Vams 2017: Workshop on value-aware and multistakeholder recommendation,” in RecSys
2017
Cited alongside, same era.
2017
Cited alongside, same era.
J. Neidhardt and H. Werthner, “IT and tourism: still a hot topic, but do not forget IT,” J. of IT & Tourism
2018
Later among the works it cites.
M. Ludewig and D. Jannach, “Evaluation of session-based recommendation algorithms,” CoRR
2018
Later among the works it cites.
M. Grbovic and H. Cheng, “Real-time personalization using embeddings for search ranking at airbnb,” in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
2018
Later among the works it cites.
A. Gilotte, C. Calauzènes, T. Nedelec, A. Abraham, and S. Dollé, “Offline A/B testing for recommender systems,” in Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
D. Arya, G. Venkataraman, A. Grover, and K. Kenthapadi, “Candidate selection for large scale personalized search and recommender systems,” in Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
2017
Cited alongside, same era.
G. Shani and A. Gunawardana, “Evaluating recommendation systems,” in Recommender Systems Handbook
Cited in the paper.
2018
Later among the works it cites.
S. Zhang, L. Yao, A. Sun, and Y. Tay, “Deep learning based recommender system: A survey and new perspectives,” ACM Comput. Surv
2019
Closest in time.