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05/10/2023
Improving position bias estimation against sparse and skewed dataset with item embedding
Estimating position bias is a well-known challenge in Learning to rank (...
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04/17/2023
Exploring 360-Degree View of Customers for Lookalike Modeling
Lookalike models are based on the assumption that user similarity plays ...
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08/25/2022
Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation
Recently online advertisers utilize Recommender systems (RSs) for displa...
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05/23/2022
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation
Leveraging graphs on recommender systems has gained popularity with the ...
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12/11/2019
Character 3-gram Mover's Distance: An Effective Method for Detecting Near-duplicate Japanese-language Recipes
In websites that collect user-generated recipes, recipes are often poste...
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10/15/2019
Learning Classifiers on Positive and Unlabeled Data with Policy Gradient
Existing algorithms aiming to learn a binary classifier from positive (P...
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12/17/2018
