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René Vidal

7 papers hereh-index 4218 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.IR3
  • cs.LG2
  • cs.AI1
  • cs.MA1
same name
  • René Vidal — 10 papers, h 10
  • René Vidal — 10 papers, h 5
  • René Vidal — 9 papers, h 4
  • René Vidal — 7 papers, h 6
  • René Vidal — 7 papers, h 2
  • René Vidal — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)

3 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing cs.IRShow all

3 papers · 1 filter

cs.IR2024

Recommendation with Generative Models

Yashar Deldjoo, Zhankui He, Julian McAuley +8

Generative models are a class of AI models capable of creating new instances of data by learning and sampling from their statistical distributions. In recent years, these models ha…

cs.IR2024

Multi-modal Generative Models in Recommendation System

Arnau Ramisa, Rene Vidal, Yashar Deldjoo +8

Many recommendation systems limit user inputs to text strings or behavior signals such as clicks and purchases, and system outputs to a list of products sorted by relevance. With t…

cs.IR2024★ 3 cited

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)

Yashar Deldjoo, Zhankui He, Julian McAuley +7

Traditional recommender systems (RS) typically use user-item rating histories as their main data source. However, deep generative models now have the capability to model and sample…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.