User Simulation book draft available

I’m excited to share the draft of our book, co-authored by ChengXiang Zhai, User Simulation for Evaluating Information Access Systems: http://arxiv.org/abs/2306.08550

This book focuses on providing a thorough understanding of user simulation techniques designed specifically for evaluation purposes. We systematically review both general frameworks and specific models and algorithms for simulating user interactions with search engines, recommender systems, and conversational assistants.

We invite feedback on this first version. If you have suggestions, comments, pointers, etc. reach out to me in email!

Highlights from 2022

A selection of highlights from 2022:

Event reports

The June 2022 issue of SIGIR Forum reports on two events that I co-organized:

SIGIR’22 contributions

The following papers got accepted at SIGIR’22:

  • Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems” — full paper with Shuo Zhang and Mu Chun Wang [PDF]
  • On Natural Language User Profiles for Transparent and Scrutable Recommendation” — perspectives paper with Filip Radlinski, Fernando Diaz, Lucas Dixon, and Ben Wedin [PDF]
  • Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering” — resource paper with Trond Linjordet [PDF]

Additionally, together with Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, and Martijn Millecamp, I’ll be co-organizing a workshop on Measuring Quality of Explanations in Recommender Systems [PDF].

update May 31: pre-prints added

Highlights from 2021

A selection of highlights from 2021: