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RecSys 2021 : ACM Conference on Recommender Systems

RecSys 2021 : ACM Conference on Recommender Systems

Amsterdam , Netherlands

Submission Deadline: Tuesday 27 Apr 2021

Conference Dates: Sep 27, 2021 - Sep 27, 2021

Research
Impact Score 4.70

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 4.70
Contributing Best Scientists: 82
H5-index:
Papers published by Best Scientists 150
Research Ranking (Computer Science) 100

Conference Call for Papers

Topics of interest for RecSys 2021 include but are not limited to (alphabetically ordered):

Algorithm scalability, performance, and implementations
Bias, fairness, bubbles and ethics of recommender systems
Case studies of real-world implementations
Conversational and natural language recommender systems
Cross-domain recommendation
Economic models and consequences of recommender systems
Interfaces for recommender systems
Novel approaches to recommendation, including voice, VR/AR, etc.
Preference elicitation
Privacy and security
Socially- and context-aware recommender systems
Systems challenges such as scalability, data quality, and performance
User studies

Overview

Top Research Topics at Conference on Recommender Systems?

  • Recommender system (98.42%)
  • World Wide Web (29.88%)
  • Artificial intelligence (23.01%)

Conference on Recommender Systems primarily focuses on research topics in Recommender system, World Wide Web, Artificial intelligence, Information retrieval and Collaborative filtering. While work presented in Conference on Recommender Systems provided substantial information on Recommender system, it also covered topics in Data mining, Personalization, Multimedia, Human–computer interaction and Data science. Social network and Social media are World Wide Web topics of special interest in Conference on Recommender Systems.

Studies on Artificial intelligence discussed in the conference link to the field of Machine learning. Machine learning research is concerned with Ranking in particular. It facilitates discussions on Information retrieval that incorporate concepts from other fields like Quality (business) and Set (abstract data type).

Many of the studies tackled connect Collaborative filtering with a similar field of study like Matrix decomposition.

What are the most cited papers published at the conference?

  • Deep Neural Networks for YouTube Recommendations (1329 citations)
  • Wide & Deep Learning for Recommender Systems (1296 citations)
  • Hidden factors and hidden topics: understanding rating dimensions with review text (1157 citations)

Research areas of the most cited articles at Conference on Recommender Systems:

The conference publications cover a variety of subjects, including Recommender system, Collaborative filtering, Artificial intelligence, Machine learning and Data mining. The most cited articles facilitate discussions on Recommender system that incorporate concepts from other fields like Matrix decomposition, Data science and Personalization. The most cited publications explore Collaborative filtering concepts, specifically Cold start but expand to research in Factorization.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at Conference on Recommender Systems (based on the number of publications) are:

  • Francesco Ricci (36 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Pasquale Lops (28 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Paolo Cremonesi (27 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • Dietmar Jannach (27 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Bamshad Mobasher (26 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at Conference on Recommender Systems (based on the number of publications) are:

  • University of Minnesota (54 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • Free University of Bozen-Bolzano (54 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • Autonomous University of Madrid (42 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • DePaul University (41 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • Polytechnic University of Milan (40 papers) published 5 papers at the last edition, 6 less than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2018 edition, 11.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.27% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.32% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.98% of all publications and 48.43% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

Other Conferences in Netherlands

International Conference on Evolutionary Multi-Criterion Optimization

Mar 20, 2023 - Mar 24, 2023

Leiden , Netherlands, Netherlands

Deadline: Wednesday 12 Oct 2022

Previous Editions

RecSys 2021 : ACM Conference on Recommender Systems

Sep 27, 2021 - Sep 27, 2021

Amsterdam , Netherlands, Netherlands

16th ACM Conference on Recommender Systems

Sep 18, 2022 - Sep 23, 2022

Seattle , United States, United States

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