RuoyanKong

extended-abstract

The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens

Guy Aridor
Northwestern University, Evanston, IL, USA
,
Duarte Goncalves
University College London, London, United Kingdom
,
Daniel Kluver
University of Minnesota - Twin Cities, Minneapolis, MN, USA
,
Ruoyan Kong
University of Minnesota - Twin Cities, Minneapolis, MN, USA
,
Joseph Konstan
University of Minnesota - Twin Cities, Minneapolis, MN, United States of America

July 2023pp 117-117 https://doi.org/10.1145/3580507.3597677

We conduct a 6 month field experiment on a movie-recommendation platform to identify if and how recommendation systems affect consumption. We use within-consumer randomization at the good level and elicit beliefs about unconsumed goods to disentangle ...

research-article

Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems

Ruixuan Sun
Grouplens Research, University of Minnesota - Twin Cities, USA
,
Ruoyan Kong
Grouplens Research, University of Minnesota - Twin Cities, USA
,
Qiao Jin
Grouplens Research, University of Minnesota - Twin Cities, USA
,
Joseph Konstan
Grouplens Research, University of Minnesota - Twin Cities, USA

June 2023pp 291-295 https://doi.org/10.1145/3563359.3597390

In this study, we partition users by rating disposition - looking first at their percentage of negative ratings, and then at the general use of the rating scale. We hypothesize that users with different rating dispositions may use the recommender system ...

research-article

Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models

Ruoyan Kong
Grouplens Research, University of Minnesota - Twin Cities, United States
,
Ruixuan Sun
Grouplens Research, University of Minnesota - Twin Cities, United States
,
Charles Chuankai Zhang
GroupLens Research, University of Minnesota - Twin Cities, United States
,
Chen Chen
Department of Computer Science and Engineering, University of Minnesota - Twin Cities, United States
,
Sneha Patri
Grouplens Research, University of Minnesota - Twin Cities, United States
,
Gayathri Gajjela
Grouplens Research, University of Minnesota - Twin Cities, United States
,
Joseph A. Konstan
GroupLens Research, University of Minnesota - Twin Cities, United States

May 2023pp 1-7 https://doi.org/10.1145/3588015.3588404

A single digital newsletter usually contains many messages (regions). Users’ reading time spent on, and read level (skip/skim/read-in-detail) of each message is important for platforms to understand their users’ interests, personalize their contents, ...

short-paper

HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace

Yunzhong He
Meta, USA
,
Cong Zhang
Meta, USA
,
Ruoyan Kong
University of Minnesota Twin Cities, USA
,
Chaitanya Kulkarni
Meta, USA
,
Qing Liu
Meta, USA
,
Ashish Gandhe
Meta, USA
,
Amit Nithianandan
Meta, USA
,
Arul Prakash
Meta, USA

April 2023pp 331-335 https://doi.org/10.1145/3543873.3584622

Query categorization at customer-to-customer e-commerce platforms like Facebook Marketplace is challenging due to the vagueness of search intent, noise in real-world data, and imbalanced training data across languages. Its deployment also needs to ...

research-article

Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment

Ruoyan Kong
University of Minnesota, Minneapolis, MN, USA
,
Charles Chuankai Zhang
University of Minnesota, Minneapolis, MN, USA
,
Ruixuan Sun
University of Minnesota, Minneapolis, MN, USA
,
Vishnu Chhabra
University of Minnesota, Minneapolis, MN, USA
,
Tanushsrisai Nadimpalli
University of Minnesota, Minneapolis, MN, USA
,
Joseph A. Konstan
University of Minnesota, Minneapolis, MN, USA

November 2022pp 1-27 https://doi.org/10.1145/3555641 https://arxiv.org/pdf/2302.11156.pdf

Bulk email is often used in organizations to communicate "important-to-organization'' messages such as policy changes, organizational plans, and administrative updates. However, normal employees may prefer messages more relevant to their jobs or ...

research-article

Working for the Invisible Machines or Pumping Information into an Empty Void? An Exploration of Wikidata Contributors' Motivations

Charles Chuankai Zhang
University of Minnesota, Minneapolis, MN, USA
,
Mo Houtti
University of Minnesota, Minneapolis, MN, USA
,
C. Estelle Smith
University of Colorado Boulder, Boulder, CO, USA
,
Ruoyan Kong
University of Minnesota, Minneapolis, MN, USA
,
Loren Terveen
University of Minnesota, Minneapolis, MN, USA

April 2022pp 1-21 https://doi.org/10.1145/3512982

Structured data peer production (SDPP) platforms like Wikidata play an important role in knowledge production. Compared to traditional peer production platforms like Wikipedia, Wikidata data is more structured and intended to be used by machines, not (...

research-article

Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness

Ruoyan Kong
University of Minnesota - Twin Cities, Minneapolis, MN, USA
,
Haiyi Zhu
Carnegie Mellon University, Pittsburgh, PA, USA
,
Joseph A. Konstan
University of Minnesota - Twin Cities, Minneapolis, MN, USA

April 2021pp 1-23 https://doi.org/10.1145/3449154

Bulk email is a primary communication channel within organizations, with all-company emails and regular newsletters serving as a mechanism for making employees aware of policies and events. Ineffective communication could result in wasted employee time ...

Towards an Effective Organization-Wide Bulk Email System

PhD Thesis

Kong, Ruoyan. 2023. Towards an Effective Organization-Wide Bulk Email System. Ph.D. Thesis. University of Minnesota.