RECSYS2019

会议论文列表

本会议共有 120 篇论文

序号	标题	链接	推荐理由	推荐度	摘要	作者	组织
1		Online learning to rank for sequential music recommendation		0		Alberto Ueda, Bruno L. Pereira, Gustavo Penha, Nivio Ziviani, Rodrygo L. T. Santos
2		Personalized re-ranking for recommendation		0		Changhua Pei, Dan Pei, Fei Sun, Hanxiao Sun, Jian Wu, Junfeng Ge, Peng Jiang, Wenwu Ou, Xiao Lin, Yi Zhang, Yongfeng Zhang
3		Deep generative ranking for personalized recommendation		0		Huafeng Liu, Jian Yu, Jingxuan Wen, Liping Jing
4		Asymmetric Bayesian personalized ranking for one-class collaborative filtering		0		Lin Li, Shan Ouyang, Weike Pan, Zhong Ming
5		CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations		0		Eylon Yogev, Noam Koenigstein, Oren Barkan, Ori Katz
6		Whose data traces, whose voices? Inequality in online participation and why it matters for recommendation systems research		0		Eszter Hargittai
7		Personalized diffusions for top-n recommendation		0		Athanasios N. Nikolakopoulos, Dimitris Berberidis, George Karypis, Georgios B. Giannakis
8		Leveraging post-click feedback for content recommendations		0		Deborah Estrin, Hongyi Wen, Longqi Yang
9		Variational low rank multinomials for collaborative filtering with side-information		0		Aish Fenton, Dave Ray, Ehtsham Elahi, Tony Jebara, Wei Wang
10		PAL: a position-bias aware learning framework for CTR prediction in live recommender systems		0		Huifeng Guo, Jinkai Yu, Qing Liu, Ruiming Tang, Yuzhou Zhang
11		Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations		0		Elisabeth Lex, Emanuel Lacic, Markus ReiterHaas, Tomislav Duricic, Valentin Slawicek
12		Traversing semantically annotated queries for task-oriented query recommendation		0		Arthur Câmara, Rodrygo L. T. Santos
13		Incorporating intent propensities in personalized next best action recommendation		0		Kexin Xie, Yuxi Zhang
14		A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation		0		Changhua Pei, Fei Sun, Hanxiao Sun, Hongjie Chen, Peng Jiang, Wenwu Ou, Xiao Lin, Xuanji Xiao, Yongfeng Zhang
15		Recommending what video to watch next: a multitask ranking system		0		Aditee Kumthekar, Aniruddh Nath, Ed H. Chi, Jilin Chen, Li Wei, Lichan Hong, Maheswaran Sathiamoorthy, Shawn Andrews, Xinyang Yi, Zhe Zhao
16		PrivateJobMatch: a privacy-oriented deferred multi-match recommender system for stable employment		0		Amar Saini, Andrew Johnston, Florin Rusu
17		FiBiNET: combining feature importance and bilinear feature interaction for click-through rate prediction		0		Junlin Zhang, Tongwen Huang, Zhiqi Zhang
18		Ghosting: contextualized inline query completion in large scale retail search		0		Lakshmi Ramachandran, Uma Murthy
19		Collective embedding for neural context-aware recommender systems		0		Felipe Soares Da Costa, Peter Dolog
20		Latent factor models and aggregation operators for collaborative filtering in reciprocal recommender systems		0		Ivan Palomares, James Neve
21		Aligning daily activities with personality: towards a recommender system for improving wellbeing		0		A. Aldo Faisal, Aleksandar Matic, Jesus Omana Iglesias, Miquel Ferrer, Mohammed Khwaja
22		Music recommendations in hyperbolic space: an application of empirical bayes and hierarchical poincaré embeddings		0		Brett Vintch, Joseph Chisari, Sam Garrett, Timothy Schmeier
23		Personalized fairness-aware re-ranking for microlending		0		Jun Guo, Nasim Sonboli, Robin Burke, Shengyu Zhang, Weiwen Liu
24		The influence of personal values on music taste: towards value-based music recommendations		0		Alan Hanjalic, Cynthia C. S. Liem, Sandy Manolios
25		Time slice imputation for personalized goal-based recommendation in higher education		0		Weijie Jiang, Zachary A. Pardos
26		Towards interactive recommending in model-based collaborative filtering systems		0		Benedikt Loepp, Jürgen Ziegler
27		Fairness and discrimination in recommendation and retrieval		0		Fernando Diaz, Michael D. Ekstrand, Robin Burke
28		SMORe: modularize graph embedding for recommendation		0		ChihMing Chen, ChuanJu Wang, MingFeng Tsai, TingHsiang Wang
29		Users in the loop: a psychologically-informed approach to similar item retrieval		0		Amy A. Winecoff, Bryce Casavant, Florin Brasoveanu, Matthew Graham, Pearce Washabaugh
30		Sampling-bias-corrected neural modeling for large corpus item recommendations		0		Aditee Kumthekar, Derek Zhiyuan Cheng, Ed H. Chi, Ji Yang, Li Wei, Lichan Hong, Lukasz Heldt, Xinyang Yi, Zhe Zhao
31		Explaining and exploring job recommendations: a user-driven approach for interacting with knowledge-based job recommender systems		0		Francisco Gutiérrez, Gerd Goetschalckx, Katrien Verbert, Nyi Nyi Htun, Robin De Croon, Sven Charleer
32		User-centered evaluation of strategies for recommending sequences of points of interest to groups		0		Daniel Herzog, Wolfgang Wörndl
33		Predictability limits in session-based next item recommendation		0		Priit Järv
34		Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics		0		Alejandro Bellogín, Pablo Sánchez
35		Product collection recommendation in online retail		0		Huiming Qu, Ilias Fountalis, Khalifeh Al Jadda, Nian Yan, Nikolaos Vasiloglou, Pigi Kouki, Unaiza Ahsan
36		User-centric evaluation of session-based recommendations for an automated radio station		0		Dietmar Jannach, Malte Ludewig
37		ORSUM 2019 2nd workshop on online recommender systems and user modeling		0		Albert Bifet, Alípio Mário Jorge, João Vinagre, Marie AlGhossein
38		Music cold-start and long-tail recommendation: bias in deep representations		0		Andres Ferraro
39		Online ranking combination		0		Erzsébet Frigó, Levente Kocsis
40		From preference into decision making: modeling user interactions in recommender systems		0		F. Maxwell Harper, Gediminas Adomavicius, Joseph A. Konstan, Martijn C. Willemsen, Qian Zhao
41		Designing for the better by taking users into account: a qualitative evaluation of user control mechanisms in (news) recommender systems		0		Dimitrios Bountouridis, Jaron Harambam, Joris Van Hoboken, Mykola Makhortykh
42		LORE: a large-scale offer recommendation engine with eligibility and capacity constraints		0		Dale Struble, Rahul Makhijani, Shreya Chakrabarti, Yi Liu
43		A comparison of calibrated and intent-aware recommendations		0		Derek G. Bridge, Mesut Kaya
44		Addressing delayed feedback for continuous training with neural networks in CTR prediction		0		Alykhan Tejani, Deepak Dilipkumar, Ferenc Huszár, Lucas Theis, Pranay Kumar Myana, Sofia Ira Ktena, Steven Yoo, Wenzhe Shi
45		Efficient similarity computation for collaborative filtering in dynamic environments		0		Bart Goethals, Koen Verstrepen, Olivier Jeunen
46		Uplift-based evaluation and optimization of recommenders		0		Janmajay Singh, Masahiro Sato, Qian Zhang, Sho Takemori, Takashi Sonoda, Tomoko Ohkuma
47		When actions speak louder than clicks: a combined model of purchase probability and long-term customer satisfaction		0		Gal Lavee, Noam Koenigstein, Oren Barkan
48		Quick and accurate attack detection in recommender systems through user attributes		0		Ismail Uysal, Mehmet Aktukmak, Yasin Yilmaz
49		A simple multi-armed nearest-neighbor bandit for interactive recommendation		0		Esther López, Javier SanzCruzado, Pablo Castells
50		Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations		0		Cataldo Musto, Gaetano Rossiello, Giovanni Semeraro, Marco de Gemmis, Pasquale Lops
51		Data mining for item recommendation in MOBA games		0		Denis Parra, Felipe Rios, Vladimir Araujo
52		DualDiv: diversifying items and explanation styles in explainable hybrid recommendation		0		Kosetsu Tsukuda, Masataka Goto
53		Multi-armed recommender system bandit ensembles		0		Marcos Redondo, Pablo Castells, Rocío Cañamares
54		Performance comparison of neural and non-neural approaches to session-based recommendation		0		Dietmar Jannach, Malte Ludewig, Noemi Mauro, Sara Latifi
55		Pick & merge: an efficient item filtering scheme for Windows store recommendations		0		Adi Makmal, Hilik Berezin, Jonathan Ephrath, Liron I. Allerhand, Nir Nice, Noam Koenigstein
56		Predicting online performance of job recommender systems with offline evaluation		0		Adrien Mogenet, Jialin Kong, Masahiro Kazama, TuanAnh Nguyen Pham
57		FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items		0		ChengTe Li, ChihYao Chen, PeiChi Wang, ShaoLun Ma, YouJia Chen, YuChe Tsai, YuChieh Chang
58		REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation		0		Adith Swaminathan, Flavian Vasile, Maria Dimakopoulou, Olivier Koch, Thorsten Joachims, Yves Raimond
59		RecSys challenge 2019: session-based hotel recommendations		0		Farshad Bakhshandegan Moghaddam, Gerard Paul Leyson, Jens Adamczak, Peter Knees, Philipp Monreal, Yashar Deldjoo
60		Bandit algorithms in recommender systems		0		Dorota Glowacka
61		Revisiting offline evaluation for implicit-feedback recommender systems		0		Olivier Jeunen
62		Recommender systems for contextually-aware, versioned items		0		Yayu Zhou
63		Efficient privacy-preserving recommendations based on social graphs		0		Aidmar Wainakh, Jörg Daubert, Max Mühlhäuser, Tim Grube
64		Are we really making much progress? A worrying analysis of recent neural recommendation approaches		0		Dietmar Jannach, Maurizio Ferrari Dacrema, Paolo Cremonesi
65		Style conditioned recommendations		0		Kamelia Aryafar, Murium Iqbal, Timothy Anderton
66		A deep learning system for predicting size and fit in fashion e-commerce		0		AbdulSaboor Sheikh, Evgenii Koriagin, Reza Shirvany, Roland Vollgraf, Romain Guigourès, Urs Bergmann, Yuen King Ho
67		Deep language-based critiquing for recommender systems		0		Ga Wu, Harold Soh, Kai Luo, Scott Sanner
68		A recommender system for heterogeneous and time sensitive environment		0		Bhargav Rajendra, Kazi A. Zaman, Meng Wu, Navid Aghdaie, Qilian Yu, Ying Zhu, Yunqi Zhao
69		Pace my race: recommendations for marathon running		0		Aonghus Lawlor, Barry Smyth, Jakim Berndsen
70		Deep social collaborative filtering		0		Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li, Wenqi Fan, Yao Ma
71		Attribute-aware non-linear co-embeddings of graph features		0		Ahmed Rashed, Josif Grabocka, Lars SchmidtThieme
72		HybridSVD: when collaborative information is not enough		0		Evgeny Frolov, Ivan V. Oseledets
73		Adversarial attacks on an oblivious recommender		0		Arindam Banerjee, Konstantina Christakopoulou
74		A generative model for review-based recommendations		0		Amir Kantor, Guy Uziel, Oren Sar Shalom
75		Adversarial tensor factorization for context-aware recommendation		0		Huiyuan Chen, Jing Li
76		Compositional network embedding for link prediction		0		Fei Sun, Peng Jiang, Tianshu Lyu, Wenwu Ou, Yan Zhang
77		Enhancing VAEs for collaborative filtering: flexible priors & gating mechanisms		0		Bongwon Suh, Daeryong Kim
78		Find my next job: labor market recommendations using administrative big data		0		Snorre S. FridNielsen
79		Greedy optimized multileaving for personalization		0		Kojiro Iizuka, Takeshi Yoneda, Yoshifumi Seki
80		How can they know that?: a study of factors affecting the creepiness of recommendations		0		CatalinMihai Barbu, Helma Torkamaan, Jürgen Ziegler
81		Latent multi-criteria ratings for recommendations		0		Alexander Tuzhilin, Pan Li
82		On gossip-based information dissemination in pervasive recommender systems		0		Felix Beierle, Hong Chinh Tran, Lucas Rebscher, Magdalena Trzeciak, Robin Papke, Tobias Eichinger
83		PyRecGym: a reinforcement learning gym for recommender systems		0		Aonghus Lawlor, Barry Smyth, Bichen Shi, Elias Z. Tragos, James Geraci, Makbule Gulcin Ozsoy, Neil Hurley
84		The trinity of luxury fashion recommendations: data, experts and experimentation		0		Ana Rita Magalhães
85		"Just play something awesome": the personalization powering voice interactions at Pandora		0		Vito Claudio Ostuni
86		Designer-driven add-to-cart recommendations		0		Emil S. Joergensen, Richard Luong, Sandhya Sachidanandan
87		Future of in-vehicle recommendation systems @ Bosch		0		Juergen Luettin, Mark Andrew, Susanne Rothermel
88		Homepage personalization at spotify		0		Alois Gruson, Ben Lacker, Catherinee Edwards, Clay Gibson, Oguz Semerci, Vladan Radosavljevic
89		Recommendation in home improvement industry, challenges and opportunities		0		Khalifeh Al Jadda
90		Recommendation systems compliant with legal and editorial policies: the BBC+ app journey		0		Maria Panteli
91		Driving content recommendations by building a knowledge base using weak supervision and transfer learning		0		Sanghamitra Deb
92		AnnoMath TeX - a formula identifier annotation recommender system for STEM documents		0		Bela Gipp, Corinna Breitinger, Ian Mackerracher, Jöran Beel, Moritz Schubotz, Philipp Scharpf
93		Darwin & Goliath: a white-label recommender-system as-a-service with automated algorithm-selection		0		Alan Griffin, Conor O'Shea, Jöran Beel
94		Interactive evaluation of recommender systems with SNIPER: an episode mining approach		0		Bart Goethals, Olivier Jeunen, Sandy Moens
95		IRF: interactive recommendation through dialogue		0		Adi Botea, Elizabeth M. Daly, Inge Vejsbjerg, Massimiliano Mattetti, Oznur Alkan
96		Microsoft recommenders: tools to accelerate developing recommender systems		0		JunKi Min, Scott Graham, Tao Wu
97		StoryTime: eliciting preferences from children for book recommendations		0		Adam Keener, Ashlee Milton, Joshua Ames, Maria Soledad Pera, Michael D. Ekstrand, Michael Green
98		Third workshop on recommendation in complex scenarios (ComplexRec 2019)		0		Alexander Tuzhilin, Bamshad Mobasher, Marijn Koolen, Toine Bogers
99		Fourth international workshop on health recommender systems (HealthRecSys 2019)		0		Alan Said, Bernd Ludwig, Christoph Trattner, David Elsweiler, Hanna Schäfer, Helma Torkamaan
100		First workshop on the impact of recommender systems at ACM RecSys 2019		0		Dietmar Jannach, Ido Guy, Oren Sar Shalom
101		RecSys '19 joint workshop on interfaces and human decision making for recommender systems		0		Alexander Felfernig, Giovanni Semeraro, John O'Donovan, Marco de Gemmis, Martijn C. Willemsen, Pasquale Lops, Peter Brusilovsky
102		The 7th international workshop on news recommendation and analytics (INRA 2019)		0		Andreas Lommatzsch, Benjamin Kille, Jon Atle Gulla, Özlem Özgöbek
103		RecTour 2019: workshop on recommenders in tourism		0		CatalinMihai Barbu, Julia Neidhardt, Markus Zanker, Tsvi Kuflik, Wolfgang Wörndl
104		Recommendation in multistakeholder environments		0		Edward C. Malthouse, Himan Abdollahpouri, K. P. Thai, Robin Burke, Yongfeng Zhang
105		Multi-stakeholder recommendations: case studies, methods and challenges		0		Yong Zheng
106		Recommendations in a marketplace		0		Benjamin A. Carterette, Rishabh Mehrotra
107		Concept to code: deep learning for multitask recommendation		0		Omprakash Sonie
108		Exploiting contextual information for recommender systems oriented to tourism		0		Pablo Sánchez
109		Recommender system for developing new preferences and goals		0		Yu Liang
110		Domain adaptation in display advertising: an application for partner cold-start		0		Karan Aggarwal, Pranjul Yadav, S. Sathiya Keerthi
111		User's activity driven short-term context inference		0		Miroslav Rac
112		Guiding creative design in online advertising		0		Jelena Gligorijevic, Manisha Verma, Shaunak Mishra
113		PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy		0		Aonghus Lawlor, Barry Smyth, Elias Z. Tragos, Erika Duriakova, Francisco J. Peña, James Geraci, Neil Hurley, Panagiotis Symeonidis
114		Predicting user routines with masked dilated convolutions		0		Dragomir Yankov, Michael R. Evans, Renzhong Wang, Senthil Palanisamy, Siddhartha Arora, Wei Wu
115		Using AI to build communities around interests on LinkedIn		0		Abdulla AlQawasmeh, Ankan Saha
116		Rude awakenings from behaviourist dreams. Methodological integrity and the GDPR		0		Mireille Hildebrandt
117		Relaxed softmax for PU learning		0		Flavian Vasile, Ugo Tanielian
118		On the discriminative power of hyper-parameters in cross-validation and how to choose them		0		Azzurra Ragone, Claudio Pomo, Eugenio Di Sciascio, Tommaso Di Noia, Vito Walter Anelli
119		Groupon finally explains why we showed those offers		0		Harshit Syal, Ibrahim Maali, Sasank Channapragada
120		ACM RecSys'19 late-breaking results (posters)		0		Maria Soledad Pera, Marko Tkalcic