Recommender Systems Handbook

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ricci, Francesco (Επιμελητής έκδοσης), Rokach, Lior (Επιμελητής έκδοσης), Shapira, Bracha (Επιμελητής έκδοσης), Kantor, Paul B. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2011.
• Έκδοση: 1.
• Θέματα: Computer science.; Database management.; Data mining.; Information storage and retrieval.; User interfaces (Computer systems).; Artificial intelligence.; E-commerce.; Computer Science.; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; Data Mining and Knowledge Discovery.; e-Commerce/e-business.; User Interfaces and Human Computer Interaction.; Database Management.

The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be...

Πίνακας περιεχομένων:

• Introduction to Recommender Systems Handbook
• Part I Basic Techniques
• Data Mining Methods for Recommender Systems
• Content-based Recommender Systems: State of the Art and Trends
• A Comprehensive Survey of Neighborhood-based Recommendation Methods
• Advances in Collaborative Filtering
• Developing Constraint-based Recommenders
• Context-Aware Recommender Systems
• Part II Applications and Evaluation of RSs
• Evaluating Recommendation Systems
• A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment
• How to Get the Recommender Out of the Lab?
• Matching Recommendation Technologies and Domains
• Recommender Systems in Technology Enhanced Learning
• Part III Interacting with Recommender Systems
• On the Evolution of Critiquing Recommenders
• Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations
• Designing and Evaluating Explanations for Recommender Systems
• Usability Guidelines for Product Recommenders Based on Example Critiquing Research
• Map Based Visualization of Product Catalogs
• Part IV Recommender Systems and Communities
• Communities, Collaboration, and Recommender Systems in Personalized Web Search
• Social Tagging Recommender Systems
• Trust and Recommendations
• Group Recommender Systems: Combining Individual Models
• Aggregation of Preferences in Recommender Systems
• Active Learning in Recommender Systems
• Multi-Criteria Recommender Systems
• Robust Collaborative Recommendation
• Index.