Ebook: Practical Recommender Systems
Author: Kim Falk
- Genre: Computers // Cybernetics: Artificial Intelligence
- Tags: Machine Learning, Python, Recommender Systems, Clustering, SQL, Monitoring, Model Evaluation, Testing, Ranking, User Behavior, Collaborative Filtering, Hybrid Recommenders
- Year: 2019
- Publisher: Manning Publications
- City: Shelter Island, NY
- Language: English
- pdf
Recommender systems are practically a necessity for keeping a site's content current, useful, and interesting to visitors. Recommender systems are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even romance.
Practical Recommender Systems goes behind the curtain to show readers how recommender systems work and, more importantly, how to create and apply them for their site. This hands-on guide covers scaling problems and other issues they may encounter as their site grows.
Practical Recommender Systems goes behind the curtain to show readers how recommender systems work and, more importantly, how to create and apply them for their site. This hands-on guide covers scaling problems and other issues they may encounter as their site grows.
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