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analyse historical interactions to predict future preferences
📈 analyse historical interactions to predict future preferences
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arXiv
·
1d
1 day ago
Trajectory-Based
Recommender
Systems
as Control
Systems
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Actions for Trajectory-Based Recommender Systems as Control Systems
🏫
Ramkhamhaeng
grahamjroy.medium.com
·
5d
5 days ago
Sequential
Recommenders
—
Predicting
What You’ll Want Next
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Actions for Sequential Recommenders — Predicting What You’ll Want Next
🏫
Ramkhamhaeng
mdpi.com
·
12h
12 hours ago
Real Estate
Recommender
Systems
: A PRISMA-Compliant Systematic Review of Multimodal...
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Actions for Real Estate Recommender Systems: A PRISMA-Compliant Systematic Review of Multimodal...
🏫
Ramkhamhaeng
Towards AI
·
2d
2 days ago
Part 13 — Design the
Recommender
System
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Actions for Part 13 — Design the Recommender System
🔒
Privacy
semiconinsights.blogspot.com
·
6d
6 days ago
How Do Deep
Latent
Variable Models Enhance
Collaborative
Filtering
With Side Information?
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Actions for How Do Deep Latent Variable Models Enhance Collaborative Filtering With Side Information?
🏫
Ramkhamhaeng
medium.com
·
5d
5 days ago
Building a Hybrid Movie
Recommendation
System
with MovieLens and SVD
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Actions for Building a Hybrid Movie Recommendation System with MovieLens and SVD
🏫
Ramkhamhaeng
medium.com
·
3d
3 days ago
Surprise: el puente entre
la
teoría
de
filtrado
colaborativo y su implementación profesional en…
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Actions for Surprise: el puente entre la teoría de filtrado colaborativo y su implementación profesional en…
🖤
CLI Tools
AWS
·
6d
6 days ago
Amazon EC2 G7 instances are now generally available
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Actions for Amazon EC2 G7 instances are now generally available
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arXiv
·
1d
1 day ago
Towards Fast Domain Adaptation and Fine-Grained
User
Simulation for Evaluating Conversational
Recommender
Systems
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Actions for Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems
🏫
Ramkhamhaeng
grahamjroy.medium.com
·
6d
6 days ago
Two-Tower Retrieval — How Web-Scale
Recommenders
Actually Serve
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Actions for Two-Tower Retrieval — How Web-Scale Recommenders Actually Serve
🧠
solipsistic communities
arXiv
·
21h
21 hours ago
Breaking the
Filter
Bubble: A Semantic Pareto-DQN Framework for Multi-Objective
Recommendation
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Actions for Breaking the Filter Bubble: A Semantic Pareto-DQN Framework for Multi-Objective Recommendation
🎬
Keanu Reeves
arXiv
·
1d
1 day ago
Memory Is No Longer a Bottleneck: Memory-Efficient Graph
Filtering
for Scalable
Collaborative
Filtering
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Actions for Memory Is No Longer a Bottleneck: Memory-Efficient Graph Filtering for Scalable Collaborative Filtering
📡
Information Theory
arXiv
·
1d
1 day ago
A Rank-One Popularity Component in Dot-Product
Recommender
Scores:Population Theory and Prior-Separation Evidence
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Actions for A Rank-One Popularity Component in Dot-Product Recommender Scores:Population Theory and Prior-Separation Evidence
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arXiv
·
1d
1 day ago
LLM-as-a-Judge for Reliable and Explainable Offline Evaluation in Top-K
Recommendation
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Actions for LLM-as-a-Judge for Reliable and Explainable Offline Evaluation in Top-K Recommendation
🏫
Ramkhamhaeng
arXiv
·
1d
1 day ago
GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs
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Actions for GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs
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arXiv
·
5d
5 days ago
VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme
Cold-Start
Conditions
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Actions for VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions
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Search engine
arXiv
·
5d
5 days ago
Denoising Implicit Feedback for
Cold-start
Recommendation
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Actions for Denoising Implicit Feedback for Cold-start Recommendation
🏫
Ramkhamhaeng
arXiv
·
1d
1 day ago
Dataset-Aware
Cold-Start
Active Learning for Annotation-Efficient 3D Medical Image Segmentation
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Actions for Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation
💭
piece of meta-advice
arXiv
·
6d
6 days ago
LensKit-Auto
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Actions for LensKit-Auto
🔎
Search engine
arXiv
·
6d
6 days ago
SAERec: Constructing Fine-grained Interpretable Intents Priors via Sparse Autoencoders for
Recommendation
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Actions for SAERec: Constructing Fine-grained Interpretable Intents Priors via Sparse Autoencoders for Recommendation
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