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researcher

Mohamed Lechiakh

2 papers hereh-index 213 citations5 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.IR1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

most citedAuditing health-related recommendations in social media: A Case Study of Abortion on YouTube

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SI2024★ 1 cited

Auditing health-related recommendations in social media: A Case Study of Abortion on YouTube

Mohammed Lahsaini, Mohamed Lechiakh, Alexandre Maurer

Recommendation algorithms (RS) used by social media, like YouTube, significantly shape our information consumption across various domains, especially in healthcare. Hence, algorith…

cs.IR2021

FEBR: Expert-Based Recommendation Framework for beneficial and personalized content

Mohamed Lechiakh, Alexandre Maurer

So far, most research on recommender systems focused on maintaining long-term user engagement and satisfaction, by promoting relevant and personalized content. However, it is still…

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