Chapter 21 References
Chapter 21 References
Books
- Belle Chiang. Systems for Search: A Practical Guide for Engineers and Analysts. Manning, 2022.
- Bob Downs. The Definitive Guide to Apache Lucene. Apress, 2023.
- Chip Huyen. Designing Machine Learning Systems. O’Reilly, 2022.
- Hang Li. Learning to Rank for Information Retrieval. Cambridge University Press, 2011.
- Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning. MIT Press, 2016.
- Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman. Mining of Massive Datasets. 3rd ed., Cambridge University Press, 2021.
- R. Kohavi, D. Tang, and Y. Xu. Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing. Cambridge University Press, 2020.
- Ricardo Baeza-Yates and Berthier Ribeiro-Neto. Modern Information Retrieval. 2nd ed., Addison-Wesley, 2016.
Websites
- Apache Lucene documentation
- Apache Lucene similarity model documentation
- Elasticsearch documentation
- Elasticsearch query DSL documentation
- OpenSearch documentation
- OpenSearch k-NN plugin documentation
- Apache Kafka documentation
- Apache Flink documentation
- Google Research, Recommending What You Like
- TensorFlow Serving documentation