Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning-Based Personalised Recommendation Algorithms and Their Applications

Machine Learning-Based Personalised Recommendation Algorithms and Their Applications

Li, Lingling
Liu, Chaohui

Hardcover

General ComputersProgramming

PREORDER - Expected ship date November 20, 2026

ISBN10: 1041285671
ISBN13: 9781041285670
Publisher: CRC Press
Published: Nov 20 2026
Pages: 146
Language: English

This book introduces innovative machine learning-based algorithms and a prototype system for personalized book recommendations, addressing key challenges such as inefficiency, data sparsity, cold-start issues, and user interest drift.

It begins with an overview of machine learning and recommender system theories, followed by the presentation of three algorithms: a frequent itemset mining approach using three-dimensional matrices and vectors, a collaborative filtering method incorporating penalty factors and temporal weights, and a hybrid collaborative filtering technique combining user attributes with item ratings. Each algorithm is thoroughly explained, including its design principles, mathematical models, and experimental results. Tests on public datasets highlight their effectiveness in improving recommendation accuracy, recall, and coverage, while offering robust solutions to persistent challenges in the field.

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