<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The recommender system (RS) filters out important information from a large pool of dynamically generated information to set some important decisions in terms of some recommendations according to the user’s past behavior, preferences, and interests. A recommender system is the subclass of information filtering systems that can anticipate the needs of the user before the needs are recognized by the user in the near future. But an evaluation of the recommender system is an important factor as it involves the trust of the user in the system. Various incompatible assessment methods are used for the evaluation of recommender systems, but the proper evaluation of a recommender system needs a particular objective set by the recommender system. This paper surveys and organizes the concepts and definitions of various metrics to assess recommender systems. Also, this survey tries to find out the relationship between the assessment methods and their categorization by type.</p>
</abstract>

The recommender system (RS) filters out important information from a large pool of dynamically generated information to set some important decisions in terms of some recommendations according to the user’s past behavior, preferences, and interests. A recommender system is the subclass of information filtering systems that can anticipate the needs of the user before the needs are recognized by the user in the near future. But an evaluation of the recommender system is an important factor as it involves the trust of the user in the system. Various incompatible assessment methods are used for the evaluation of recommender systems, but the proper evaluation of a recommender system needs a particular objective set by the recommender system. This paper surveys and organizes the concepts and definitions of various metrics to assess recommender systems. Also, this survey tries to find out the relationship between the assessment methods and their categorization by type.

Assessment Methods for Evaluation of Recommender Systems: A Survey

Department of Computer Science and Engineering

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Assessment Methods for Evaluation of Recommender Systems: A Survey"}

The recommender system (RS) filters out important information from a large pool of dynamically generated information to set some important decisions in terms...

Assessment Methods for Evaluation of Recommender Systems: A Survey

Online veröffentlicht: 17. Dez. 2021

Seitenbereich: 393 - 421

Eingereicht: 18. Aug. 2020

Akzeptiert: 20. Juli 2021

DOI: https://doi.org/10.2478/fcds-2021-0023

Schlüsselwörter
Recommender System, Information Filtering System, Assessment Methods

© 2021 Madhusree Kuanr et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Assessment Methods for Evaluation of Recommender Systems: A Survey

Online veröffentlicht: 17. Dez. 2021

Seitenbereich: 393 - 421

Eingereicht: 18. Aug. 2020

Akzeptiert: 20. Juli 2021

DOI: https://doi.org/10.2478/fcds-2021-0023

SchlüsselwörterRecommender System, Information Filtering System, Assessment Methods

© 2021 Madhusree Kuanr et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Recommender System, Information Filtering System, Assessment Methods