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Found 4 papers, 2 papers with code
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities
In personalized recommender systems, embeddings are often used to encode customer actions and items, and retrieval is then performed in the embedding space using approximate nearest neighbor search.
Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study
Additionally, we select two scene-centric datasets, and three object-centric datasets, and determine the relative performance of the selected models on these datasets.
Extending CLIP for Category-to-image Retrieval in E-commerce
One aspect of this data is a category tree that is being used in search and recommendation.
Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers
In this paper, we focus on purchase prediction for both anonymous and identified sessions on an e-commerce platform.
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