Prefer2SD: A Human-in-the-Loop Approach to Balancing Similarity and Diversity in In-Game Friend Recommendations
Paper i proceeding, 2025

In-game friend recommendations significantly impact player retention and sustained engagement in online games. Balancing similarity and diversity in recommendations is crucial for fostering stronger social bonds across diverse player groups. However, automated recommendation systems struggle to achieve this balance, especially as player preferences evolve over time. To tackle this challenge, we introduce Prefer2SD (derived from Preference to Similarity and Diversity), an iterative, human-in-the-loop approach designed to optimize the similarity-diversity (SD) ratio in friend recommendations. Developed in collaboration with a local game company, Prefer2D leverages a visual analytics system to help experts explore, analyze, and adjust friend recommendations dynamically, incorporating players' shifting preferences. The system employs interactive visualizations that enable experts to fine-tune the balance between similarity and diversity for distinct player groups. We demonstrate the efficacy of Prefer2SD through a within-subjects study (N=12), a case study, and expert interviews, showcasing its ability to enhance in-game friend recommendations and offering insights for the broader field of personalized recommendation systems.

Similarity and Diversity

Visual Analytics

Friend Recommendation

Active Learning.

Författare

Xiyuan Wang

ShanghaiTech University

Ziang Li

Tongji University

Sizhe Chen

Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet

Xingxing Xing

Netease

Wei Wan

Netease

Quan Li

ShanghaiTech University

International Conference on Intelligent User Interfaces, Proceedings IUI

1141-1161
9798400713064 (ISBN)

30th International Conference on Intelligent User Interfaces, IUI 2025
Cagliari, Italy,

Ämneskategorier (SSIF 2025)

Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

Datavetenskap (datalogi)

Systemvetenskap, informationssystem och informatik

DOI

10.1145/3708359.3712075

Mer information

Senast uppdaterat

2025-04-15