recommender system
PulseAugur coverage of recommender system — every cluster mentioning recommender system across labs, papers, and developer communities, ranked by signal.
1 天有情绪数据
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New framework optimizes logging policies for off-policy evaluation accuracy
Researchers have developed a new framework for designing logging policies to improve the accuracy of off-policy evaluation (OPE). OPE is crucial for estimating the performance of new policies, like recommender systems, …
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Matrix Factorisation with temporal dynamics explored in new paper
This article delves into the intricacies of matrix factorization, specifically focusing on its application to temporal dynamics within recommendation systems. It explores advanced techniques and considerations for handl…
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Agentic recommender systems drive hyper-personalization in banking
This article explores the application of agentic recommender systems to achieve hyper-personalization in the banking sector. It discusses how these systems can redefine real-time customer experiences for financial insti…
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Agentic recommender systems drive hyper-personalization in banking customer experiences.
This article explores the application of agentic recommender systems to achieve hyper-personalization in the banking sector. It discusses how these systems can redefine real-time customer experiences for retail banks. T…
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Eugene Yan reviews 2022, detailing career growth, writing goals, and investment thesis
Eugene Yan's 2022 review highlights personal and professional achievements, including writing 18 posts on technical topics like text-to-image and machine learning techniques. He was promoted from L5 to L6, focusing on M…
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Eugene Yan shares strategies for continuous machine learning education
Eugene Yan's essay offers practical advice for staying current in the rapidly evolving field of machine learning. He suggests actively experimenting with new tools and techniques in projects, sharing learnings with coll…
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Eugene Yan shares system design talks for RecSys and Search
Eugene Yan recently presented on system design for recommendation systems and search at two separate meetups: the MLOps Community and SF Big Analytics. The talks, which occurred in September 2021 and July 2021 respectiv…