Knowledge-based recommender system

Knowledge-based recommender systems (knowledge based recommenders) are a specific type of recommender system that are based on explicit knowledge about the item assortment, user preferences, and recommendation criteria (i.e., which item should be recommended in which context). ^[1]

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Table of Contents

1. 9 relations: Case-based reasoning, Cold start (recommender systems), Collaborative filtering, Constraint satisfaction, Conversation, Guided selling, Knowledge acquisition, Knowledge-based configuration, Recommender system.

Case-based reasoning

In artificial intelligence and philosophy, case-based reasoning (CBR), broadly construed, is the process of solving new problems based on the solutions of similar past problems. Knowledge-based recommender system and case-based reasoning are artificial intelligence.

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Cold start (recommender systems)

Cold start is a potential problem in computer-based information systems which involves a degree of automated data modelling.

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Collaborative filtering

Collaborative filtering (CF) is a technique used by recommender systems.

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Constraint satisfaction

In artificial intelligence and operations research, constraint satisfaction is the process of finding a solution through a set of constraints that impose conditions that the variables must satisfy.

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Conversation

Conversation is interactive communication between two or more people.

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Guided selling

Guided selling is a process that helps potential buyers of products or services to choose the product best fulfilling their needs and hopefully guides the buyer to buy.

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Knowledge acquisition

Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system.

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Knowledge-based configuration

Knowledge-based configuration, also referred to as product configuration or product customization, is an activity of customising a product to meet the needs of a particular customer. Knowledge-based recommender system and Knowledge-based configuration are artificial intelligence.

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Recommender system

A recommender system, or a recommendation system (sometimes replacing system with terms such as platform, engine, or algorithm), is a subclass of information filtering system that provides suggestions for items that are most pertinent to a particular user.

See Knowledge-based recommender system and Recommender system

References

[1] https://en.wikipedia.org/wiki/Knowledge-based_recommender_system

Also known as Knowledge based recommender.

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