activity
19942025
most citedA Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients

227 citations · 638 across the 77 of their papers we have counts for

collaborators
Showing cs.IRShow all

5 papers · 1 filter

cs.IR2024

Competitive Retrieval: Going Beyond the Single Query

Haya Nachimovsky, Moshe Tennenholtz, Fiana Raiber +1

Previous work on the competitive retrieval setting focused on a single-query setting: document authors manipulate their documents so as to improve their future ranking for a given…

cs.IR2021★ 5 cited

Driving the Herd: Search Engines as Content Influencers

Gregory Goren, Oren Kurland, Moshe Tennenholtz +1

In competitive search settings such as the Web, many documents' authors (publishers) opt to have their documents highly ranked for some queries. To this end, they modify the docume…

cs.IR2020★ 12 cited

Ranking-Incentivized Quality Preserving Content Modification

Gregory Goren, Oren Kurland, Moshe Tennenholtz +1

The Web is a canonical example of a competitive retrieval setting where many documents' authors consistently modify their documents to promote them in rankings. We present an autom…

cs.IR2020

Studying Ranking-Incentivized Web Dynamics

Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland

The ranking incentives of many authors of Web pages play an important role in the Web dynamics. That is, authors who opt to have their pages highly ranked for queries of interest,…

cs.IR2018★ 16 cited

Ranking Robustness Under Adversarial Document Manipulations

Gregory Goren, Oren Kurland, Moshe Tennenholtz +1

For many queries in the Web retrieval setting there is an on-going ranking competition: authors manipulate their documents so as to promote them in rankings. Such competitions can…