Prada: Practical black-box adversarial attacks against neural ranking models
Neural ranking models (NRMs) have shown remarkable success in recent years, especially
with pre-trained language models. However, deep neural models are notorious for their …
with pre-trained language models. However, deep neural models are notorious for their …
Rethinking search engines and recommendation systems: a game theoretic perspective
M Tennenholtz, O Kurland - Communications of the ACM, 2019 - dl.acm.org
Rethinking search engines and recommendation systems: a game theoretic perspective
Page 1 66 COMMUNICATIONS OF THE ACM | DECEMBER 2019 | VOL. 62 | NO. 12 review …
Page 1 66 COMMUNICATIONS OF THE ACM | DECEMBER 2019 | VOL. 62 | NO. 12 review …
Competitive search
O Kurland, M Tennenholtz - Proceedings of the 45th International ACM …, 2022 - dl.acm.org
The Web is a canonical example of a competitive search setting that includes document
authors with ranking incentives: their goal is to promote their documents in rankings induced …
authors with ranking incentives: their goal is to promote their documents in rankings induced …
A game theoretic analysis of the adversarial retrieval setting
The main goal of search engines is ad hoc retrieval: ranking documents in a corpus by their
relevance to the information need expressed by a query. The Probability Ranking Principle …
relevance to the information need expressed by a query. The Probability Ranking Principle …
A study of query performance prediction for answer quality determination
H Roitman, S Erera, G Feigenblat - Proceedings of the 2019 ACM SIGIR …, 2019 - dl.acm.org
We study a constrained retrieval setting in which either a single qualitative answer is
provided as a response to a user-query or none. Given a user-query and the" best" answer …
provided as a response to a user-query or none. Given a user-query and the" best" answer …
The probability ranking principle is not optimal in adversarial retrieval settings
The probability ranking principle (PRP)-ranking documents in response to a query by their
relevance probabilities-is the theoretical foundation of most ad hoc document retrieval …
relevance probabilities-is the theoretical foundation of most ad hoc document retrieval …
Shapley facility location games
O Ben-Porat, M Tennenholtz - … WINE 2017, Bangalore, India, December 17 …, 2017 - Springer
Facility location games have been a topic of major interest in economics, operations
research and computer science, starting from the seminal work by Hotelling. Spatial facility …
research and computer science, starting from the seminal work by Hotelling. Spatial facility …
Multiunit facility location games
O Ben-Porat, M Tennenholtz - Mathematics of Operations …, 2019 - pubsonline.informs.org
Facility location games have been a topic of major interest in economics, operations
research, and computer science, starting from the seminal work by Hotelling [Hotelling H …
research, and computer science, starting from the seminal work by Hotelling [Hotelling H …
Modelling the Recommender Alignment Problem
F Carvalho - arXiv preprint arXiv:2208.12299, 2022 - arxiv.org
Recommender systems (RS) mediate human experience online. Most RS act to optimize
metrics that are imperfectly aligned with the best-interest of users but are easy to measure …
metrics that are imperfectly aligned with the best-interest of users but are easy to measure …
From" More Like This" to" Better Than This"
In this paper we address a novel retrieval problem we term the" Better Than This" problem.
For a given pair of a user query to be answered by some search engine and a single …
For a given pair of a user query to be answered by some search engine and a single …