How Long to Read Personalization Techniques and Recommender Systems

How Long Does it Take to Read Personalization Techniques and Recommender Systems?

It takes the average reader 5 hours and 39 minutes to read Personalization Techniques and Recommender Systems by Matthew Y. Ma

Assuming a reading speed of 250 words per minute. Learn more

Description

The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed. The book is the first of its kind, representing research efforts in the diversity of personalization and recommendation techniques. These include user modeling, content, collaborative, hybrid and knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing and sales and web services, to library and personalized TV recommendation systems. This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems. Sample Chapter(s). Personalization-Privacy Tradeoffs in Adaptive Information Access (865 KB). Contents: User Modeling and Profiling: Personalization-Privacy Tradeoffs in Adaptive Information Access (B Smyth); A Deep Evaluation of Two Cognitive User Models for Personalized Search (F Gasparetti & A Micarelli); Unobtrusive User Modeling for Adaptive Hypermedia (H J Holz et al.); User Modelling Sharing for Adaptive e-Learning and Intelligent Help (K Kabassi et al.); Collaborative Filtering: Experimental Analysis of Multiattribute Utility Collaborative Filtering on a Synthetic Data Set (N Manouselis & C Costopoulou); Efficient Collaborative Filtering in Content-Addressable Spaces (S Berkovsky et al.); Identifying and Analyzing User Model Information from Collaborative Filtering Datasets (J Griffith et al.); Content-Based Systems, Hybrid Systems and Machine Learning Methods: Personalization Strategies and Semantic Reasoning: Working in Tandem in Advanced Recommender Systems (Y Blanco-Fernindez et al.); Content Classification and Recommendation Techniques for Viewing Electronic Programming Guide on a Portable Device (J Zhu et al.); User Acceptance of Knowledge-Based Recommenders (A Felfernig et al.); Using Restricted Random Walks for Library Recommendations and Knowledge Space Exploration (M Franke & A Geyer-Schulz); An Experimental Study of Feature Selection Methods for Text Classification (G Uchyigit & K Clark). Readership: Researchers and graduate students in machine learning and databases/information science.

How long is Personalization Techniques and Recommender Systems?

Personalization Techniques and Recommender Systems by Matthew Y. Ma is 334 pages long, and a total of 84,836 words.

This makes it 113% the length of the average book. It also has 104% more words than the average book.

How Long Does it Take to Read Personalization Techniques and Recommender Systems Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 43 minutes to read Personalization Techniques and Recommender Systems aloud.

What Reading Level is Personalization Techniques and Recommender Systems?

Personalization Techniques and Recommender Systems is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Personalization Techniques and Recommender Systems?

Personalization Techniques and Recommender Systems by Matthew Y. Ma is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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