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Julien Gaillard

dblp:08/11343 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 2015
0000-0002-0930-5498ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3Artificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Recommender systems · 100%
Computer networks
1 paper
Network optimization and economics · 62% Wireless networking · 19% Physical-layer communications · 19%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Recommender systems
content-based recommendation
0.212013
Well-Argued Recommendation: Adaptive Models Based on Words in Recommender Systems · EMNLP 2013
Recommender systems
explainable recommendation
0.212013
Well-Argued Recommendation: Adaptive Models Based on Words in Recommender Systems · EMNLP 2013
Network optimization and economics › game theory
game-theoretic networking
0.112012
Semi-dynamic Hawk and Dove game, applied to power control · INFOCOM 2012
Physical-layer communications › multiple access
collision channel
0.012012
Semi-dynamic Hawk and Dove game, applied to power control · INFOCOM 2012
Wireless networking
medium access control
0.012012
Semi-dynamic Hawk and Dove game, applied to power control · INFOCOM 2012

Methods — techniques the papers use, named apart from their topics

semantic similarity · 0.2collaborative filtering · 0.2hawk-dove game · 0.1dynamic game theory · 0.1
YearPublicationVenuePosition
2015 Time-Sensitive Collaborative Filtering through Adaptive Matrix Completion
Julien Gaillard, Jean-Michel Renders
ECIR1
2013 Well-Argued Recommendation: Adaptive Models Based on Words in Recommender Systems
abstract
Recommendation systems (RS) take advantage of products and users information in order to propose items to consumers.Collaborative, content-based and a few hybrid RS have been developed in the past.In contrast, we propose a new domain-independent semantic RS.By providing textually well-argued recommendations, we aim to give more responsibility to the end user in his decision.The system includes a new similarity measure keeping up both the accuracy of rating predictions and coverage.We propose an innovative way to apply a fast adaptation scheme at a semantic level, providing recommendations and arguments in phase with the very recent past.We have performed several experiments on films data, providing textually well-argued recommendations.
Julien Gaillard, Marc El-Bèze, Eitan Altman, Emmanuel Ethis
EMNLP1
2013 Paradoxes in Semi-Dynamic Evolutionary Power Control Game: When Intuition Fools You!
abstract
This paper studies a power control game over a collision channel. Each player has an energy state and balances energy conservation and transmission success. When opting for higher transmission power, the chances of a successful transmission in the presence of interference increases at the cost of a larger drop in energy. We study this dynamic game when restricting to simple non-dynamic strategies: a power level is chosen at start-up and maintained during the lifetime of the battery. A thorough analysis of the existence and characterization of the equilibria of this evolutionary Hawk-Dove game is conducted. Moreover, we study the stability of our results under various classes of evolutionary dynamics, including replicator dynamics and Brown-von Neumann-Nash (BNN) dynamics and identify various surprising paradoxes. Simulation results validate our theoretical claims.
Majed Haddad, Eitan Altman, Dieter Fiems, Julien Gaillard
IEEE Trans. Wirel. Commun.4
2012 Semi-dynamic Hawk and Dove game, applied to power control
abstract
In this paper, we study a power control game over a collision channel. Each player has an energy state. When choosing a higher transmission power, the chance of a successful transmission (in the presence of other interference) increases at the cost of a larger decrease in the energy state of the battery. We study this dynamic game when restricting to simple non-dynamic strategies that consist of choosing a given power level that is maintained during the lifetime of the battery. We identify a surprising paradox in our Hawk-Dove game which we term the initial energy paradox.
Eitan Altman, Dieter Fiems, Majed Haddad, Julien Gaillard
INFOCOM4
2012 A Semi-dynamic Evolutionary Power Control Game
Majed Haddad, Eitan Altman, Julien Gaillard, Dieter Fiems
Networking (2)3