Real-time, Scalable, Content-based Twitter Users Recommendation - Université Jean-Monnet-Saint-Étienne Access content directly
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Real-time, Scalable, Content-based Twitter Users Recommendation

Julien Subercaze
Laboratoire Hubert Curien
CV
Christophe Gravier
Laboratoire Hubert Curien
Frédérique Laforest
Laboratoire Hubert Curien
CV

Domains

Artificial Intelligence [cs.AI] Information Retrieval [cs.IR]

Christophe GRAVIER  : Connect in order to contact the contributor

https://hal-ujm.archives-ouvertes.fr/ujm-02010031

Submitted on : Wednesday, February 6, 2019-5:37:54 PM

Last modification on : Friday, March 24, 2023-2:53:09 PM

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ujm-02010031 , version 1 (06-02-2019)

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  • HAL Id : ujm-02010031 , version 1

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Julien Subercaze, Christophe Gravier, Frédérique Laforest. Real-time, Scalable, Content-based Twitter Users Recommendation. Companion of the The Web Conference 2018, Apr 2018, Lyon, France. pp.1367-1367. ⟨ujm-02010031⟩

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