Information and Recommender Systems [Paperback]

Information is an element of knowledge that can be stored, processed or transmitted. It is linked to concepts of communication, data, knowledge or representation.  In a context of steady increase in the mass of information it is difficult to know what information to look for and where to find them. Computer techniques exist to facilitate this research and allow relevant information extraction.  Recommendation systems introduced the notions inherent to the recommendation, based, inter alia, information search, filtering, machine learning, collaborative approaches. It also deals with the assessment of such systems and has various applications.

Chapter 1. A Few Important Details Before We Begin  1

1.1. Information systems  1

1.2. Decision support systems  2

1.3. Recommender systems  3

1.4. Comparisons 4

1.5. Recommendation versus personalization 5

1.5.1. Recommendation 5

1.5.2. Personalization 6

Chapter 2. Recommender Systems  7

2.1. Introduction  8

2.2. Classification of recommender systems 9

2.2.1. Classification by score estimation method 9

2.2.2. Classification by data exploitation  10

2.2.3. Classification by objective  11

2.3. User profiles  11

2.4. Data mining  12

2.5. Content-based approaches 14

2.6. Collaborative filtering approaches 17

2.7. Knowledge-based approaches 20

2.8. Hybrid approaches 23

2.9. Other approaches  25

Chapter 3. Key Concepts, Useful Ml)