How to use recommender systems in e-business domains
Journal Title: Webology - Year 2014, Vol 11, Issue 2
Abstract
Recommender systems (RS) were developed by research as a means to manage the information retrieval problem for users searching large databases. Recently they have become very popular among businesses as online marketing tools. Several online companies base their success on these systems, among other conditions. By looking at the last decades, the research on RS can be summarized into two main streams. The first research stream is focused on technical aspects of the algorithms and on identifying new ways to make them more accurate, while the second stream is focused on the effects of RS on customers. Therefore, we can draw several indications from the research on RS about the mistakes that companies should avoid when using RS. In this work we conduct an extensive literature and industrial review and we identify some crucial points managers should mind when developing a RS in order to make it as effective as possible in real world applications, or at least to avoid making it a failure.
Authors and Affiliations
Umberto Panniello
Keywords
Related Articles
- EP ID EP687741
- DOI -
- Views 217
- Downloads 0
Techniques for text classification: Literature review and current trends
Automated classification of text into predefined categories has always been considered as a vital method to manage and process a vast amount of documents in digital forms that are widespread and continuously increasing....
Getting Connected: Can Social Capital be Virtual?
This article reports on an analysis of data from a study conducted in Australia on the impact of Internet access on social capital. The debate regarding the definition of social capital is explored, and basic indicator...
Methods for forming an informational image of a higher education institution
The paper is dedicated to the issues connected with the informational activity of a Higher Education Institution. The methods of acquiring and maintaining a complete informational image of a Higher Education Institution...
Global Research Trends of Public Libraries from 1968 to 2017: A Bibliometric and Visualization Analysis
This study aimed to highlight the articles published on public libraries over a 50-year period from 1968 to 2017. This bibliometric study used Scopus citation database to collect articles. All public libraries articles i...
High Performance Computing (HPC) Data Center for Information as a Service (IaaS) Security Checklist: Cloud Data Governance
This study focused on cloud Data Governance (DG) for High Performance Computing (HPC) Cloud data Centre focusing on IaaS cloud service. To ensure the service provided to users is secured, HPCC are required to be certifie...