Bart Locanthi

ORCID: 0009-0006-5782-909X
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About
Contact & Profiles
Research Areas
  • Recommender Systems and Techniques
  • Expert finding and Q&A systems
  • Topic Modeling
  • Advanced Graph Neural Networks

Google (United States)
2023

Recommendation system serves as a conduit connecting users to an incredibly large, diverse and ever growing collection of contents. In practice, missing information on fresh (and tail) contents needs be filled in order for them exposed discovered by their audience. We here share our success stories building dedicated content recommendation stack large commercial platform. To nominate contents, we built multi-funnel nomination that combines (i) two-tower model with strong generalization power...

10.1145/3580305.3599826 article EN Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2023-08-04

Recommendation system serves as a conduit connecting users to an incredibly large, diverse and ever growing collection of contents. In practice, missing information on fresh (and tail) contents needs be filled in order for them exposed discovered by their audience. We here share our success stories building dedicated content recommendation stack large commercial platform. To nominate contents, we built multi-funnel nomination that combines (i) two-tower model with strong generalization power...

10.48550/arxiv.2306.01720 preprint EN cc-by arXiv (Cornell University) 2023-01-01
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