28 citations
- Georgia Institute of TechnologyUS2 papers
- Meta (Israel)IL2 papers
- RWTH Aachen UniversityDE2 papers
- Aalto UniversityFI1 paper
- Academy of Performing Arts in PragueCZ1 paper
- Agence Parisienne du ClimatFR1 paper
- Amazon (Germany)DE1 paper
- Amirkabir University of TechnologyIR1 paper
- Amsterdam University CollegeNL1 paper
- Amsterdam University of Applied SciencesNL1 paper
- Association for Computing MachineryUS1 paper
- Astrophysique, Instrumentation et ModélisationFR1 paper
4 papers · 1 filter
Learning Feature Interactions with Lorentzian Factorization Machine
Canran Xu, Ming Wu
Learning representations for feature interactions to model user behaviors is critical for recommendation system and click-trough rate (CTR) predictions. Recent advances in this are…
Word-based Domain Adaptation for Neural Machine Translation
Shen Yan, Leonard Dahlmann, Pavel Petrushkov +2
In this paper, we empirically investigate applying word-level weights to adapt neural machine translation to e-commerce domains, where small e-commerce datasets and large out-of-do…
Measuring Average Treatment Effect from Heavy-tailed Data
Jason, Wang, Pauline Burke
Heavy-tailed metrics are common and often critical to product evaluation in the online world. While we may have samples large enough for Central Limit Theorem to kick in, experimen…
Personalized Query Auto-Completion Through a Lightweight Representation of the User Context
Manojkumar Rangasamy Kannadasan, Grigor Aslanyan
Query Auto-Completion (QAC) is a widely used feature in many domains, including web and eCommerce search, suggesting full queries based on a prefix typed by the user. QAC has been…