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What is Recommender system

Chapter 169
Encyclopedia of Data Science and Machine Learning
Software tool that suggests recommendation, which users might apply to achieve their goals.
Published in Chapter:
Recommendation Systems
Houda El Bouhissi (LIMED Laboratory, Faculty of Exact Sciences, University of Bejaia, Algeria)
Copyright: © 2023 |Pages: 17
DOI: 10.4018/978-1-7998-9220-5.ch169
Abstract
With the increasing amount of data produced daily, it becomes very difficult for users to find resources suitable to their needs. Recommendation systems, which are capable of providing individualized suggestions or guiding the user to interesting or relevant resources within a large data space, are proposed for this purpose. In this article, the authors do a comprehensive assessment of recommendation models, propose a categorization scheme, analyze challenges, and explore unresolved issues. In addition, they highlight new trends and future visions in this field of study, emphasizing the need of merging ontologies and machine-learning algorithms to increase the accuracy and efficiency of the recommender systems.
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Chapter 542
Self-Organization in Social Software for Learning
A computer program that recommends some sort of resource based on algorithms that rely on some sort of user model, some sort of content model, and some means of matching the two.
Published in Chapter: Self-Organization in Social Software for Learning; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 13
Ideating a Recommender System for Business Growth Using Profit Pattern Mining and Uncertainty Theory
A recommender system or a recommendation system is a subclass of information filtering system that seeks to predict the “rating” or “preference” that a user would give to an item.
Published in Chapter: Ideating a Recommender System for Business Growth Using Profit Pattern Mining and Uncertainty Theory; From: Sentiment Analysis and Knowledge Discovery in Contemporary Business
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Chapter 5
A Knowledge-Based Recommender Framework to Recommend Destination Country for Human Migrants (KBRF): The Case of Ethiopia in Africa
It’s associated with a search engine along with a knowledge base to recommend a set of cognitive solutions based on the user’s inputs.
Published in Chapter: A Knowledge-Based Recommender Framework to Recommend Destination Country for Human Migrants (KBRF): The Case of Ethiopia in Africa; From: International Perspectives and Strategies for Managing an Aging Workforce
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Chapter 151
Advanced Recommender Systems
A software system that provides a single target user within a single context with personalized recommendations of items such as goods, services or information to guide the target user to find most relevant items using ratings on a single relevance criterion (i.e., overall) and where both users and items are in a single domain.
Published in Chapter: Advanced Recommender Systems; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 2
Personalized Product Recommendation and User Satisfaction: Theory and Application
A recommender system is a computer program that uses its recommendations to help users make informed buying decisions based on their preference, browsing history and their buying pattern. Online product recommendation (OPR) is a strategy that enables products to be dynamically populated with customer data such as browsing history and context. This strategy provides a personalized shopping experience.
Published in Chapter: Personalized Product Recommendation and User Satisfaction: Theory and Application; From: Management Strategies for Sustainability, New Knowledge Innovation, and Personalized Products and Services
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Chapter 80
Art Innovative Systems for Value Tagging
A system that aids in decision making by providing users with suggestions. These suggestions are developed based on past information or domain knowledge.
Published in Chapter: Art Innovative Systems for Value Tagging; From: Encyclopedia of Organizational Knowledge, Administration, and Technology
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Chapter 11
Leveraging Machine Learning Techniques to Improve Learning and Recommendations Within Dairy Farms: Towards High Milk Yields for Small-Scale Farmers
A data-driven model that has been implemented as an information system to offer recommendations for best practices that could lead to increased yields.
Published in Chapter: Leveraging Machine Learning Techniques to Improve Learning and Recommendations Within Dairy Farms: Towards High Milk Yields for Small-Scale Farmers; From: Impact of Disruptive Technologies on the Socio-Economic Development of Emerging Countries
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Chapter 5
Information Processing in Research Paper Recommender System Classes
A computerized systems that suggest goods and service by predicting user’s preference and ratings.
Published in Chapter: Information Processing in Research Paper Recommender System Classes; From: Research Data Access and Management in Modern Libraries
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Chapter 32
Social Networking for Businesses: Is it a Boon or Bane?
An automated system that provides users with information that may be of interest to them.
Published in Chapter: Social Networking for Businesses: Is it a Boon or Bane?; From: Handbook of Research on Business Social Networking: Organizational, Managerial, and Technological Dimensions
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Chapter 77
Recommendation-Mediated Consensus as an E-Marketing Tool
Information system providing personalised guidance to users based on individual tastes or preferences expressed previously.
Published in Chapter: Recommendation-Mediated Consensus as an E-Marketing Tool; From: Encyclopedia of E-Commerce Development, Implementation, and Management
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Chapter 4
Big Data in Digital Media Platforms
Recommendations based on user and target audience behavior regarding customer satisfaction.
Published in Chapter: Big Data in Digital Media Platforms; From: Handbook of Research on Smart Management for Digital Transformation
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Chapter 6
A Survey on Data Mining Techniques in Research Paper Recommender Systems
A subclass of information filtering system that seeks to predict the rating and preference a user would give to an item.
Published in Chapter: A Survey on Data Mining Techniques in Research Paper Recommender Systems; From: Research Data Access and Management in Modern Libraries
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Chapter 15
User Profiles for Personalizing Digital Libraries
A system that guides users in a personalized way to interesting or useful objects in a large space of possible options.
Published in Chapter: User Profiles for Personalizing Digital Libraries; From: Handbook of Research on Digital Libraries: Design, Development, and Impact
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Chapter 66
Consumer Information Sharing
Recommender systems in e-commerce identify a similarity in the preferences or tastes of one consumer and others (e.g. goods purchased, products viewed); and make recommendations for new purchases drawn from the set of other goods bought or viewed by each of the like-minded consumers.
Published in Chapter: Consumer Information Sharing; From: Encyclopedia of E-Business Development and Management in the Global Economy
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Chapter 21
Intuitionistic Fuzzy Sets in Large-Scale Software Requirement Prioritization
A specific type of advice-giving or decision support system that guides users in a personalized way to interesting or useful objects in a large space of possible options ( Felfernig et al., 2018a ).
Published in Chapter: Intuitionistic Fuzzy Sets in Large-Scale Software Requirement Prioritization; From: Handbook of Research on Advances and Applications of Fuzzy Sets and Logic
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Chapter 6
Explanations in Artificial Intelligence Decision Making: A User Acceptance Perspective
An AI system that recommends various products, services, articles, or social connections to a user based the user’s profile.
Published in Chapter: Explanations in Artificial Intelligence Decision Making: A User Acceptance Perspective; From: Handbook of Research on Human-Computer Interfaces and New Modes of Interactivity
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Chapter 16
Clemson University's Teacher Learning Progression Program: Personalized Advanced Credentials for Teachers
An algorithm-driven, technology-based system providing context-specific recommendations to guide teachers toward the identification of preferred PD pathways and content.
Published in Chapter: Clemson University's Teacher Learning Progression Program: Personalized Advanced Credentials for Teachers; From: Handbook of Research on Credential Innovations for Inclusive Pathways to Professions
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