Decision Tasks and Basic Algorithms

  • Felfernig A
  • Boratto L
  • Stettinger M
  • et al.
N/ACitations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Recommender systems are decision support systems helping users to identify one or more items (solutions) that fit their wishes and needs. The most frequent application of recommender systems nowadays is to propose items to individual users. However, there are many scenarios where a group of users should receive a recommendation. For example, think of a group decision regarding the next holiday destination or a group decision regarding a restaurant to visit for a joint dinner. The goal of this book is to provide an introduction to group recommender systems, i.e., recommender systems that determine recommendations for groups. In this chapter, we provide an introduction to basic types of recommendation algorithms for individual users and characterize related decision tasks. This introduction serves as a basis for the introduction of group recommendation algorithms in Chap. 2.

Cite

CITATION STYLE

APA

Felfernig, A., Boratto, L., Stettinger, M., & Tkalčič, M. (2018). Decision Tasks and Basic Algorithms (pp. 3–26). https://doi.org/10.1007/978-3-319-75067-5_1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free