Amsterdam , Netherlands
Submission Deadline: Tuesday 27 Apr 2021
Conference Dates: Sep 27, 2021 - Sep 27, 2021
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.
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.
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.
The top authors publishing at Conference on Recommender Systems (based on the number of publications) are:
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.
Only papers with recognized affiliations are considered
The top affiliations publishing at Conference on Recommender Systems (based on the number of publications) are:
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.
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.
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.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Mar 20, 2023 - Mar 24, 2023
Leiden , Netherlands, Netherlands
Deadline: Wednesday 12 Oct 2022
Sep 27, 2021 - Sep 27, 2021
Amsterdam , Netherlands, Netherlands
Sep 18, 2022 - Sep 23, 2022
Seattle , United States, United States
RecSys 2021 : ACM Conference on Recommender Systems
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