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RecSys 2018: Vancouver, BC, Canada

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  • Invited keynotes
  • From browser to buyer: online product recommendations
  • Travel and entertainment
  • Does it work? metrics and evaluation
  • Short papers with poster presentation
  • Industry talks: System considerations
  • Workshops, challenge and late-breaking results
  • Doctoral symposium

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  Sole Pera, Michael D. Ekstrand, Xavier Amatriain, John O'Donovan:
  Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, Vancouver, BC, Canada, October 2-7, 2018. ACM 2018, ISBN 978-1-4503-5901-6

Invited keynotes

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    Elizabeth F. Churchill:
    Five E's: reflecting on the design of recommendations. 1
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    Lise Getoor:
    Scalable structured prediction for richly structured socio-behavioral data. 2
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    Christopher Berry:
    Recommending social cohesion. 3

Why did i get this? explaining recommendations

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    Yichao Lu, Ruihai Dong, Barry Smyth:
    Why I like it: multi-task learning for recommendation and explanation. 4-12
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    Yucheng Jin, Nava Tintarev, Katrien Verbert:
    Effects of personal characteristics on music recommender systems with different levels of controllability. 13-21
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    Akiva Kleinerman, Ariel Rosenfeld, Sarit Kraus:
    Providing explanations for recommendations in reciprocal environments. 22-30
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    James McInerney, Benjamin Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra:
    Explore, exploit, and explain: personalizing explainable recommendations with bandits. 31-39
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    Qian Zhao, Martijn C. Willemsen, Gediminas Adomavicius, F. Maxwell Harper, Joseph A. Konstan:
    Interpreting user inaction in recommender systems. 40-48
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    Benedikt Loepp, Tim Donkers, Timm Kleemann, Jürgen Ziegler:
    Impact of item consumption on assessment of recommendations in user studies. 49-53

From browser to buyer: online product recommendations

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    Özge Sürer, Robin Burke, Edward C. Malthouse:
    Multistakeholder recommendation with provider constraints. 54-62
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    Rajiv Pasricha, Julian J. McAuley:
    Translation-based factorization machines for sequential recommendation. 63-71
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    Hongyi Wen, Longqi Yang, Michael Sobolev, Deborah Estrin:
    Exploring recommendations under user-controlled data filtering. 72-76
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    Yin Zhang, Haokai Lu, Wei Niu, James Caverlee:
    Quality-aware neural complementary item recommendation. 77-85
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    Mengting Wan, Julian J. McAuley:
    Item recommendation on monotonic behavior chains. 86-94
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    Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
    Deep reinforcement learning for page-wise recommendations. 95-103
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    Stephen Bonner, Flavian Vasile:
    Causal embeddings for recommendation. 104-112

Learning and optimization

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    Dong Deng, Liping Jing, Jian Yu, Shaolong Sun, Haofei Zhou:
    Neural gaussian mixture model for review-based rating prediction. 113-121
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    Yilin Shen, Yue Deng, Avik Ray, Hongxia Jin:
    Interactive recommendation via deep neural memory augmented contextual bandits. 122-130
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    Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci, Sarit Kraus:
    Optimally balancing receiver and recommended users' importance in reciprocal recommender systems. 131-139
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    Jheng-Hong Yang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai:
    HOP-rec: high-order proximity for implicit recommendation. 140-144
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    Thanh Vinh Vo, Harold Soh:
    Generation meets recommendation: proposing novel items for groups of users. 145-153
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    Harald Steck:
    Calibrated recommendations. 154-162

Travel and entertainment

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    Paolo Dragone, Giovanni Pellegrini, Michele Vescovi, Katya Tentori, Andrea Passerini:
    No more ready-made deals: constructive recommendation for telco service bundling. 163-171
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    Anna Sepliarskaia, Julia Kiseleva, Filip Radlinski, Maarten de Rijke:
    Preference elicitation as an optimization problem. 172-180
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    Rohit Verma, Surjya Ghosh, Saketh Mahankali, Niloy Ganguly, Bivas Mitra, Sandip Chakraborty:
    Comfride: a smartphone based system for comfortable public transport recommendation. 181-189
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    Longqi Yang, Michael Sobolev, Christina Tsangouri, Deborah Estrin:
    Understanding user interactions with podcast recommendations delivered via voice. 190-194
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    Bobby Prévost, Jonathan Laflamme Janssen, Jaime R. Camacaro, Carolina Bessega:
    Deep inventory time translation to improve recommendations for real-world retail. 195-199
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    Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Christopher Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr:
    The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games. 200-208

Towards recsys that care

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    Yiu-Kai Ng, Maria Soledad Pera:
    Recommending social-interactive games for adults with autism spectrum disorders (ASD). 209-213
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    Sabina Tomkins, Steven Isley, Ben London, Lise Getoor:
    Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations. 214-218
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  Iván Cantador, María E. Cortés-Cediel, Miriam Fernández, Harith Alani:
  What's going on in my city?: recommender systems and electronic participatory budgeting. 219-223
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    Allison June-Barlow Chaney, Brandon M. Stewart, Barbara E. Engelhardt:
    How algorithmic confounding in recommendation systems increases homogeneity and decreases utility. 224-232
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    Javier Sanz-Cruzado, Pablo Castells:
    Enhancing structural diversity in social networks by recommending weak ties. 233-241
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    Michael D. Ekstrand, Mucun Tian, Mohammed R. Imran Kazi, Hoda Mehrpouyan, Daniel Kluver:
    Exploring author gender in book rating and recommendation. 242-250

Does it work? metrics and evaluation

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    Rohan Tondulkar, Manisha Dubey, Maunendra Sankar Desarkar:
    Get me the best: predicting best answerers in community question answering sites. 251-259
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    Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells:
    On the robustness and discriminative power of information retrieval metrics for top-N recommendation. 260-268
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    Michael Jugovac, Dietmar Jannach, Mozhgan Karimi:
    Streamingrec: a framework for benchmarking stream-based news recommenders. 269-273
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    Yifan Zhong, Tahir Lazaro Sousa Menezes, Vikas Kumar, Qian Zhao, F. Maxwell Harper:
    A field study of related video recommendations: newest, most similar, or most relevant? 274-278
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    Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge J. Belongie, Deborah Estrin:
    Unbiased offline recommender evaluation for missing-not-at-random implicit feedback. 279-287
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    Yuan Yao, F. Maxwell Harper:
    Judging similarity: a user-centric study of related item recommendations. 288-296

Beyond users and items

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    Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu:
    Recurrent knowledge graph embedding for effective recommendation. 297-305
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    Laura Burbach, Johannes Nakayama, Nils Plettenberg, Martina Ziefle, André Calero Valdez:
    User preferences in recommendation algorithms: the influence of user diversity, trust, and product category on privacy perceptions in recommender algorithms. 306-310
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    Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu:
    Spectral collaborative filtering. 311-319
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    Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi:
    Categorical-attributes-based item classification for recommender systems. 320-328
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    Saikishore Kalloori, Francesco Ricci, Rosella Gennari:
    Eliciting pairwise preferences in recommender systems. 329-337
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    Marie Al-Ghossein, Pierre-Alexandre Murena, Talel Abdessalem, Anthony Barré, Antoine Cornuéjols:
    Adaptive collaborative topic modeling for online recommendation. 338-346

Short papers with poster presentation

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    Steven L. Rohall, Margaret Pancost-Heidebrecht, Bill Shirley, Douglas Bacon, Michael A. Tarselli:
    Recommendations for chemists: a case study. 347-351
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    Hugo Caselles-Dupré, Florian Lesaint, Jimena Royo-Letelier:
    Word2vec applied to recommendation: hyperparameters matter. 352-356
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    Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
    CF4CF: recommending collaborative filtering algorithms using collaborative filtering. 357-361
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    Anita Khadka, Petr Knoth:
    Using citation-context to reduce topic drifting on pure citation-based recommendation. 362-366
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    Pablo Sánchez, Alejandro Bellogín:
    Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions. 367-371
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    Homanga Bharadhwaj, Homin Park, Brian Y. Lim:
    RecGAN: recurrent generative adversarial networks for recommendation systems. 372-376
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    Mohammad Rostami, David J. Huber, Tsai-Ching Lu:
    A crowdsourcing triage algorithm for geopolitical event forecasting. 377-381
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    Robin M. E. Swezey, Bruno Charron:
    Large-scale recommendation for portfolio optimization. 382-386
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    Simen Eide, Ning Zhou:
    Deep neural network marketplace recommenders in online experiments. 387-391
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    Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany:
    A hierarchical bayesian model for size recommendation in fashion. 392-396
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    Yitong Meng, Guangyong Chen, Jiajin Li, Shengyu Zhang:
    Psrec: social recommendation with pseudo ratings. 397-401
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    David Massimo, Francesco Ricci:
    Harnessing a generalised user behaviour model for next-POI recommendation. 402-406
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    Wang-Cheng Kang, Julian J. McAuley:
    Learning consumer and producer embeddings for user-generated content recommendation. 407-411
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    Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang:
    Field-aware probabilistic embedding neural network for CTR prediction. 412-416
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    Noveen Sachdeva, Kartik Gupta, Vikram Pudi:
    Attentive neural architecture incorporating song features for music recommendation. 417-421
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    Rishabh Misra, Mengting Wan, Julian J. McAuley:
    Decomposing fit semantics for product size recommendation in metric spaces. 422-426
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    Sumit Sidana, Charlotte Laclau, Massih-Reza Amini:
    Learning to recommend diverse items over implicit feedback on PANDOR. 427-431
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    Diane Hu, Raphael Louca, Liangjie Hong, Julian J. McAuley:
    Learning within-session budgets from browsing trajectories. 432-436
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    Bithika Pal, Mamata Jenamani:
    Kernelized probabilistic matrix factorization for collaborative filtering: exploiting projected user and item graph. 437-440
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    Imen Akermi, Mohand Boughanem, Rim Faiz:
    A probabilistic model for intrusive recommendation assessment. 441-445
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    Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
    Trust-based collaborative filtering: tackling the cold start problem using regular equivalence. 446-450
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    Guy Hadash, Oren Sar Shalom, Rita Osadchy:
    Rank and rate: multi-task learning for recommender systems. 451-454
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    Yashar Deldjoo, Mihai Gabriel Constantin, Hamid Eghbal-Zadeh, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi:
    Audio-visual encoding of multimedia content for enhancing movie recommendations. 455-459
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    Xiuyuan Lu, Zheng Wen, Branislav Kveton:
    Efficient online recommendation via low-rank ensemble sampling. 460-464
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    Hebatallah A. Mohamed Hassan, Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli:
    Semantic-based tag recommendation in scientific bookmarking systems. 465-469
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    Ramesh Baral, S. S. Iyengar, Tao Li, N. Balakrishnan:
    CLoSe: Contextualized Location Sequence Recommender. 470-474
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    Dharahas Tallapally, Rama Syamala Sreepada, Bidyut Kr. Patra, Korra Sathya Babu:
    User preference learning in multi-criteria recommendations using stacked auto encoders. 475-479

Industry talks: Core algorithms

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    Keld T. Lundgaard:
    Variational learning to rank (VL2R). 480
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    Even Oldridge:
    Adapting session based recommendation for features through transfer learning. 481
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    Xiaoran Xu, Laming Chen, Songpeng Zu, Hanning Zhou:
    Hulu video recommendation: from relevance to reasoning. 482
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    Jenny Liu:
    Hybrid search: incorporating contextual signals in recommendations at pinterest. 483
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    Arnab Bhadury, Aanchan Mohan:
    Learning content and usage factors simultaneously to reduce clickbaits. 484

Industry talks: System considerations

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    Lina Weichbrodt:
    Measuring operational quality of recommendations: industry talk abstract. 485
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    Renaud Bourassa:
    Building recommender systems with strict privacy boundaries. 486
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    Fernando Amat Gil, Ashok Chandrashekar, Tony Jebara, Justin Basilico:
    Artwork personalization at netflix. 487-488
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    Shahin Sefati, Parsa Saadatpanah, Hassan Sayyadi, Jan Neumann:
    Conversational content discovery via comcast X1 voice interface. 489
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    Ido Guy:
    Connecting sellers and buyers on the world's largest inventory. 490-491

Demonstrations

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    Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
    Extra: explaining team recommendation in networks. 492-493
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    Arthur F. Da Costa, Eduardo P. Fressato, Fernando Soares de Aguiar Neto, Marcelo G. Manzato, Ricardo J. G. B. Campello:
    Case recommender: a flexible and extensible python framework for recommender systems. 494-495
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    Daniel Herzog, Christopher Laß, Wolfgang Wörndl:
    Tourrec: a tourist trip recommender system for individuals and groups. 496-497
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    Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
    Module advisor: a hybrid recommender system for elective module exploration. 498-499
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    Masoud Mansoury, Robin Burke, Aldo Ordonez-Gauger, Xavier Sepulveda:
    Automating recommender systems experimentation with librec-auto. 500-501
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    Takuya Kitazawa, Makoto Yui:
    Query-based simple and scalable recommender systems with apache hivemall. 502-503
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    Iván García, Alejandro Bellogín:
    Towards an open, collaborative REST API for recommender systems. 504-505
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    Maximilian Nocker, Gabriele Sottocornola, Markus Zanker, Sanja Baric, Greice Amaral Carneiro, Fabio Stella:
    Picture-based navigation for diagnosing post-harvest diseases of apple. 506-507
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    Anuradha Bhamidipaty, Daniel M. Gruen, Justin Platz, John Vergo:
    Cognitive company discovery. 508-509

Workshops, challenge and late-breaking results

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    Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Casper Petersen:
    2nd workshop on recommendation in complex scenarios (complexrec 2018). 510-511
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    Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman:
    DLRS 2018: third workshop on deep learning for recommender systems. 512-513
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    Thorsten Joachims, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile:
    REVEAL 2018: offline evaluation for recommender systems. 514-515
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    Toshihiro Kamishima, Pierre-Nicolas Schwab, Michael D. Ekstrand:
    2nd FATREC workshop: responsible recommendation. 516
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    David Elsweiler, Bernd Ludwig, Alan Said, Hanna Schäfer, Helma Torkamaan, Christoph Trattner:
    Third international workshop on health recommender systems (healthrecsys 2018). 517-518
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    Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
    Recsys'18 joint workshop on interfaces and human decision making for recommender systems. 519-520
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    Vito Walter Anelli, Pierpaolo Basile, Derek G. Bridge, Tommaso Di Noia, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Markus Zanker:
    Knowledge-aware and conversational recommender systems. 521-522
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    Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernández:
    The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL). 523-524
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    Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, Markus Zanker:
    ACM recsys workshop on recommenders in tourism (rectour 2018). 525-526
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    Ching-Wei Chen, Paul Lamere, Markus Schedl, Hamed Zamani:
    Recsys challenge 2018: automatic music playlist continuation. 527-528
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    Christoph Trattner, Vanessa Murdock, Shuo Chang:
    ACM recsys'18 late-breaking results (posters). 529-530

Tutorials

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    Omprakash Sonie, Sudeshna Sarkar, Surender Kumar:
    Concept to code: learning distributed representation of heterogeneous sources for recommendation. 531-532
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    Longqi Yang, Eugene Bagdasaryan, Hongyi Wen:
    Modularizing deep neural network-inspired recommendation algorithms. 533-534
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    Marko Tkalcic:
    Emotions and personality in recommender systems: tutorial. 535-536
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    Yashar Deldjoo, Markus Schedl, Balázs Hidasi, Peter Knees:
    Multimedia recommender systems. 537-538
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    Massimo Quadrana, Paolo Cremonesi:
    Sequence-aware recommendation. 539-540
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    Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas, Ben Carterette, Fernando Diaz:
    Mixed methods for evaluating user satisfaction. 541-542

Doctoral symposium

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    Daricia Wilkinson:
    Testing a recommender system for self-actualization. 543-547
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    Manel Slokom:
    Comparing recommender systems using synthetic data. 548-552
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    Zhe Li:
    Towards the next generation of multi-criteria recommender systems. 553-557
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    Giorgia Di Tommaso:
    SeRenA: a semantic recommender for all. 558-562
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    Kittipitch Kuptavanich:
    Using textual summaries to describe a set of products. 563-567
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    Qing Ping:
    Video recommendation using crowdsourced time-sync comments. 568-572
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    Lijie Guo:
    Beyond the top-N: algorithms that generate recommendations for self-actualization. 573-577
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    Gabriel de Souza Pereira Moreira:
    CHAMELEON: a deep learning meta-architecture for news recommender systems. 578-583

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