English

Group Recommendations: Axioms, Impossibilities, and Random Walks

Social and Information Networks 2017-07-28 v1 Artificial Intelligence Computer Science and Game Theory Multiagent Systems

Abstract

We introduce an axiomatic approach to group recommendations, in line of previous work on the axiomatic treatment of trust-based recommendation systems, ranking systems, and other foundational work on the axiomatic approach to internet mechanisms in social choice settings. In group recommendations we wish to recommend to a group of agents, consisting of both opinionated and undecided members, a joint choice that would be acceptable to them. Such a system has many applications, such as choosing a movie or a restaurant to go to with a group of friends, recommending games for online game players, & other communal activities. Our method utilizes a given social graph to extract information on the undecided, relying on the agents influencing them. We first show that a set of fairly natural desired requirements (a.k.a axioms) leads to an impossibility, rendering mutual satisfaction of them unreachable. However, we also show a modified set of axioms that fully axiomatize a group variant of the random-walk recommendation system, expanding a previous result from the individual recommendation case.

Keywords

Cite

@article{arxiv.1707.08755,
  title  = {Group Recommendations: Axioms, Impossibilities, and Random Walks},
  author = {Omer Lev and Moshe Tennenholtz},
  journal= {arXiv preprint arXiv:1707.08755},
  year   = {2017}
}

Comments

In Proceedings TARK 2017, arXiv:1707.08250

R2 v1 2026-06-22T20:58:53.135Z