output
20222026
most citedDesigning an AI-Powered Mentorship Platform for Professional Development: Opportunities and Challenges

42 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2026 · cs.IRShow all

2 papers · 2 filters

cs.IR2026

LO-FAR: A Cost-Aware Local Filter for Sparse Feature Ranking in Industrial Ad Recommendation

Egemen Erbayat, Luis Duque, Sohini Roychowdhury +2

Industrial ad recommendation models rely heavily on sparse, high-cardinality ID-list features that encode user histories and contextual identifiers. Each is backed by a dedicated e…

cs.IR2026

A General Framework for Multimodal LLM-Based Multimedia Understanding in Large-Scale Recommendation Systems

Yiming Zhu, Xu Liu, Ziyun Xu +9

Conventional recommendation systems frequently fail to fully exploit the high-dimensional semantic signals inherent in multimedia content, thereby limiting the fidelity of user pre…