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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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12/02/2022
Meta-Shop: Improving Item Advertisement For Small Businesses
In this paper, we study item advertisements for small businesses. This a...
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08/31/2022
One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations
In one-class recommendation systems, the goal is to learn a model from a...
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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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04/18/2022
Learning Similarity Preserving Binary Codes for Recommender Systems
Hashing-based Recommender Systems (RSs) are widely studied to provide sc...
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03/14/2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering
Neural network-based collaborative filtering systems focus on designing ...
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02/15/2022
Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization
Cross-modal retrieval aims to search for data with similar semantic mean...
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03/13/2021
Recommending Short-lived Dynamic Packages for Golf Booking Services
We introduce an approach to recommending short-lived dynamic packages fo...
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10/12/2020
