Overview of Design Options for Neighborhood-Based Collaborative Filtering Systems

Overview of Design Options for Neighborhood-Based Collaborative Filtering Systems

Nikos Manouselis (Informatics Laboratory, Agricultural University of Athens, Greece) and Constantina Costopoulou (Informatics Laboratory, Agricultural University of Athens, Greece)
DOI: 10.4018/978-1-59904-510-8.ch002
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Abstract

The problem of collaborative filtering is to predict how well a user will like an item that he or she has not rated, given a set of historical ratings for this and other items from a community of users. A plethora of collaborative filtering algorithms have been proposed in related literature. One of the most prevalent families of collaborative filtering algorithms are neighborhood-based ones, which calculate a prediction of how much a user will like a particular item, based on how other users with similar preferences have rated this item. This chapter aims to provide an overview of various proposed design options for neighborhood-based collaborative filtering systems, in order to facilitate their better understanding, as well as their study and implementation by recommender systems’ researchers and developers. For this purpose, the chapter extends a series of design stages of neighborhood-based algorithms, as they have been initially identified by related literature on collaborative filtering systems. Then, it reviews proposed alternatives for each design stage and provides an overview of potential design options.

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Table of Contents
Acknowledgment
Rafael Andrés González, Nong Chen, Ajantha Dahanayake
Chapter 1
Shan Chen, Mary-Anne Williams
Ontology learning has been identified as an inherently transdisciplinary area. Personalized ontology learning for Web personalization involves Web... Sample PDF
Learning Personalized Ontologies from Text: A Review on an Inherently Transdisciplinary Area
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Chapter 2
Nikos Manouselis, Constantina Costopoulou
The problem of collaborative filtering is to predict how well a user will like an item that he or she has not rated, given a set of historical... Sample PDF
Overview of Design Options for Neighborhood-Based Collaborative Filtering Systems
$37.50
Chapter 3
Rafael A. Gonzalez
In this chapter, information management problems and some of the computer-based solutions offered to deal with them are presented. The claim is that... Sample PDF
Exploring Information Management Problems in the Domain of Critical Incidents
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Chapter 4
Penelope Markellou, Maria Rigou, Spiros Sirmakessis
The Web has become a huge repository of information and keeps growing exponentially under no editorial control, while the human capability to find... Sample PDF
Mining for Web Personalization
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Chapter 5
Athena Vakali, Geroge Pallis, Lefteris Angelis
The explosive growth of the Web scale has drastically increased information circulation and dissemination rates. As the number of both Web users and... Sample PDF
Clustering Web Information Sources
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Chapter 6
Nong Chen, Ajantha Dahanayake
Personalized information seeking and retrieval is regarded as the solution to the problem of information overload in domains such as crisis response... Sample PDF
A Conceptual Structure for Designing Personalized Information Seeking and Retrieval Systems in Data-Intensive Domains
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Chapter 7
Amr Ali Eldin, Zoran Stojanovic
With the rapid developments of mobile telecommunications technology over the last two decades, a new computing paradigm known as ‘anywhere and... Sample PDF
Privacy Control Requirements for Context-Aware Mobile Services
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Chapter 8
Ricardo Barros, Geraldo Xexéo, Wallace A. Pinheiro, Jano de Souza
Due to the amount of information on the Web being so large and being of varying levels of quality, it is becoming increasingly difficult to find... Sample PDF
User and Context-Aware Quality Filters Based on Web Metadata Retrieval
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Chapter 9
Iker Gondra
In content-based image retrieval (CBIR), a set of low-level features are extracted from an image to represent its visual content. Retrieval is... Sample PDF
Personalized Content-Based Image Retrieval
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Chapter 10
Lu Yan
Humans are quite successful at conveying ideas to each other and retrieving information from interactions appropriately. This is due to many... Sample PDF
Service-Oriented Architectures for Context-Aware Information Retrieval and Access
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Chapter 11
Zakaria Maamar, Soraya Kouadri Mostéfaoui, Qusay H. Mahmoud
This chapter presents a context-based approach for Web services personalization so that user preferences are accommodated. Preferences are of... Sample PDF
On Personalizing Web Services Using Context
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Chapter 12
Haibin Zhu, MengChu Zhou
Agent system design is a complex task challenging designers to simulate intelligent collaborative behavior. Roles can reduce the complexity of agent... Sample PDF
Role-Based Multi-Agent Systems
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Chapter 13
Tarek Ben Mena, Narjès Bellamine-Ben Saoud, Mohamed Ben Ahmed, Bernard Pavard
This chapter aims to define context notion for multi-agent systems (MAS). Starting from the state of the art on context in different disciplines, we... Sample PDF
Towards a Context Definition for Multi-Agent Systems
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About the Contributors