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Home/Authors/Moshe Unger

Moshe Unger

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

Info Retrieval×1AI×1

Frequent co-authors

Jonathan Mayo1×
Konstantin Bauman1×

Research Timeline

2026
Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation

The paper proposes SPHERE, a novel framework that uses large language models to create semantic user personas, enabling effective cross-domain recommendation knowledge transfer between completely disjoint platforms.

Highlighted terms show continued research focus across papers

Papers

cs.IRcs.AIRecentJun 1, 2026

Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation

Jonathan Mayo, Moshe Unger, Konstantin Bauman

The paper proposes SPHERE, a novel framework that uses large language models to create semantic user personas, enabling effective cross-domain recommendation knowledge transfer between completely disj…

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