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RecSys '16: Proceedings of the 10th ACM Conference on Recommender Systems
ACM2016 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
RecSys '16: Tenth ACM Conference on Recommender Systems Boston Massachusetts USA September 15 - 19, 2016
ISBN:
978-1-4503-4035-9
Published:
07 September 2016
Sponsors:
In-Cooperation:

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Abstract

It is our great pleasure to welcome you to the 10th ACM Conference on Recommender Systems (RecSys 2016), held in Boston, MA, USA, from September 15th through 19th. Since it was first held ten years ago, RecSys has grown to become the leading conference for the presentation and discussion of recommender systems research, bringing together the world's leading recommender systems researchers and e-commerce companies.

The program for RecSys 2016 reflects the growth of the Recommender Systems community. For the second time in the history of RecSys we will offer two parallel tracks during the three days of the main conference with a record breaking 112 contributions including 51 technical papers, 9 Past, Present, and Future papers, 15 industry papers, four tutorials, three keynotes, and 30 demos and posters. We again offer an extensive pre-conference program with nine workshops, the RecSys Challenge and a doctoral symposium.

The technical program for RecSys 2016 drew upon a record 294 total submissions. To celebrate the tenth year of the conference, the program features a new track reflecting on past, present, and future research in the field of recommender systems. Papers in this track consider a broad perspective on how the field has evolved and the challenges and directions that lie ahead. The review process for all tracks was highly selective. In the main program, 29 long papers were accepted out of 159 submissions (18.2% acceptance rate), 22 out of 110 short papers (20% acceptance rate), and 9 out of 25 Past, Present and Future paper submissions (36% acceptance rate). Prominent topics covered by these papers include human factors, social aspects, context awareness, cold start, novelty and diversity, and core algorithmic research (matrix factorization, deep learning, probabilistic approaches, etc.).

Building on the tradition established by previous years, RecSys 2016 features a strong focus on significant real-world challenges facing industrial practitioners and practical solutions to those challenges. The three industry sessions feature a rich set of talks from Mendeley, Meetup, Bloomberg, Foursquare, Spotify, Netflix, Pandora, Stitch Fix, Expedia, Nara Logics, GraphSQL, Retail Rocket, Quora, Google and Pinterest. A wide range of domains are represented in these sessions including publishing, news, Q & A, events, music, movies, television, fashion, apps and games.

Cited By

  1. ACM
    Pandey S, Das S, Ganu H and Singh S Rethinking 'Complement' Recommendations at Scale with SIMD Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, (25-36)
  2. Jha A and Ray S (2023). Influencer recommendation system: choosing the right influencer using a network analysis approach, Marketing Intelligence & Planning, 10.1108/MIP-04-2023-0149, 41:8, (1197-1212), Online publication date: 7-Nov-2023.
  3. Li X, Sun L, Chen S, Wang H, Wen Q, Zhang X, Ding X and Loskot P (2023). Behavior sequence aggregation and attention mechanism-based interest recommendation Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 10.1117/12.3005141, 9781510668355, (130)
  4. Wang H, Chen X and Srivastava H (2023). Analysis and visualization of the parameter space of matrix factorization-based recommender systems 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 10.1117/12.2686703, 9781510667600, (209)
  5. Vorm E and Combs D (2022). Integrating Transparency, Trust, and Acceptance: The Intelligent Systems Technology Acceptance Model (ISTAM), International Journal of Human–Computer Interaction, 10.1080/10447318.2022.2070107, 38:18-20, (1828-1845), Online publication date: 14-Dec-2022.
  6. Xia X, Chen H, Zhu Y and Pei Z (2022). Automatic learning explicit and implicit feature interactions for click-through rate prediction International Conference on Mechanisms and Robotics (ICMAR 2022), 10.1117/12.2653077, 9781510657328, (202)
  7. Zhou Q, Zhao C and Imane H (2022). Application of image sentiment analysis in cross-modal semantics Third International Conference on Computer Communication and Network Security (CCNS 2022), 10.1117/12.2659582, 9781510660113, (39)
  8. ACM
    Ma N, Ispir M, Li Y, Yang Y, Chen Z, Cheng D, Nie L and Barman K An Online Multi-task Learning Framework for Google Feed Ads Auction Models Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (3477-3485)
  9. Xu C, Louca R, Ni K, Zelinski M, Taha T and Howe J (2021). Contextual matching via graph representation learning with side information Applications of Machine Learning 2021, 10.1117/12.2595087, 9781510645240, (32)
Contributors
  • Macalester College
  • IBM Research
  • Commonwealth Scientific and Industrial Research Organisation
  • Autonomous University of Madrid
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Acceptance Rates

RecSys '16 Paper Acceptance Rate 29 of 159 submissions, 18%;
Overall Acceptance Rate 254 of 1,295 submissions, 20%
YearSubmittedAcceptedRate
RecSys '191893619%
RecSys '181813218%
RecSys '171252621%
RecSys '161592918%
RecSys '151312821%
RecSys '15 Challenge211257%
RecSys '142343515%
RecSys '131363224%
RecSys '121192420%
Overall1,29525420%