The 1st Workshop on the Impact of Recommender Systems with ACM RecSys 2019

The 1st Workshop on the Impact of Recommender Systems with ACM RecSys 2019

Co-located with the 13th ACM Conference on Recommender Systems, 19th September 2019, Copenhagen, Denmark.


The workshop consists of an opening keynote by Prof. Joe Konstan, oral presentations of research papers (12+3 minutes), the presentation of position papers as posters during the coffee break, and a concluding open discussion.

The proceedings of the workshop are available at (Volume 2462)


Recommending for Impact: Intentions, Algorithms, and Metrics (slides)

Abstract: What does it mean to recommend for impact? Where are there tensions between the interests of the recommender operator and the interests of the user? Can we measure the impact of a recommendation, or a recommender algorithm? And how can we optimize algorithms to improve impact? This talk takes a long look at the field of recommender systems, including periods of significant impact-focused developments and periods of technical progress made by looking at other objectives. Building on that past, we look at promising directions for impact-focused recommender systems research.

Image Konstan     Joseph A. Konstan is Distinguished McKnight University Professor, Distinguished University Teaching Professor, and the College of Science and Engineering's Associate Dean for Research at the University of Minnesota. His research addresses a variety of human-computer interaction issues, including personalization (particularly through recommender systems), eliciting on-line participation, and designing computer systems to improve public health. He is probably best known for his work in collaborative filtering recommenders (the GroupLens project, which won the ACM Software Systems Award).

Detailed Schedule

14:00 - 14:10 Opening
14:10 - 15:00 Keynote (Joe Konstan)
15:00 - 15:30 Paper Session 1
15:30 - 16:00 Coffee Break / Poster Presentations
16:00 - 17:00 Paper Session 2
17:00 - 17:30 Open Discussion and Workshop Closing

Position Papers

Best Paper

The best paper award sponsored by Intuit goes to:
Recommendations for Long-Term Profit Optimization by Patrick Hosein, Inzamam Rahaman, Keanu Nichols and Kiran Maharaj


Research in the area of recommender systems is largely focused on helping individual users finding items they are interested in. This is usually done by learning to rank the recommendable items based on their assumed relevance for each user. The implicit underlying goal of a such system is to affect users in different positive ways, e.g., by making their search and decision processes easier or by helping them discover new things.

Recommender systems can, however, also have other more directly-measurable impacts, e.g., such that go beyond the individual user or the short term influence. A recommender system on a news platform, for example, can lead to a shift in the reading patterns of the entire user base. Similarly, on e-commerce platforms, it has been shown that a recommender can induce significant changes in the purchase behavior of consumers, leading, for example, to generally higher sales diversity across the site. On the other hand, recommender systems usually serve certain business goals and can have an impact not only on the customers, e.g., by stimulating higher engagement on a media streaming platform or a social network, but also direct and indirect affect sales, revenue or conversion and churn rates.

Goals of the Workshop

The research literature that considers such more direct measurements of impact of recommender systems on the various stakeholders is comparably scarce and scattered. With the proposed workshop, we pursue different goals.


The topics of interest include, e.g.,

Submission and Publication

Submission types are long research papers reporting on complete research (8 pages plus references), short papers reporting on work in progress (4 pages plus references), and position papers (up to two pages). Submissions must be formatted according to the conference guidelines (ACM SIG Proceedings Template) and submitted via EasyChair.

The review process is single-blind, i.e., please include author names in the papers. All papers will be peer reviewed by the workshop's program committee.

Accepted papers will be published within formal proceedings at

The best paper will be awarded with a Google Home (can be replaced with an equivalent prize upon request).

Important dates


Workshop Co-Organizers

Program Committee


If you have questions regarding the workshop, do not hesitate to contact the workshop chairs: