AM

Alexander Marquardt

Principal Consultant

关于作者

Alex is a principal consultant on the services EMEA team. He holds a master's degree in computer engineering from the University of Toronto, a B.Sc. from the University of Manitoba, and an MBA from the IESE Business School in Barcelona. Check out his personal blog at www.AlexMarquardt.com.

作者文章

Boosting e-commerce search by profit and popularity with the function score query in Elasticsearch

2025年12月17日

Boosting e-commerce search by profit and popularity with the function score query in Elasticsearch

Discover how to optimize e-commerce search by blending BM25 relevance with profit margin and popularity signals in Elasticsearch using the function_score query.

How to improve e-commerce search relevance with personalized cohort-aware ranking

2025年12月10日

How to improve e-commerce search relevance with personalized cohort-aware ranking

Improve e-commerce search relevance with explainable, cohort-aware ranking in Elasticsearch. Learn how multiplicative boosting delivers stable, predictable personalization at query time.

How excessive replica counts can degrade performance, and what to do about it

2025年12月8日

How excessive replica counts can degrade performance, and what to do about it

Learn about the impact of high replica counts in Elasticsearch, and how to ensure cluster stability by right-sizing your replicas.

Efficient bitwise matching in Elasticsearch

2024年10月21日

Efficient bitwise matching in Elasticsearch

Explore six approaches to encoding and matching binary data in Elasticsearch, including terms encoding (my preferred approach), boolean encoding, sparse bit position encoding, integer encoding with exact matching, integer encoding with scripted bitwise matching, and integer encoding with ESQL for bitwise matching, with practical examples and use cases.

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