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 189
- Downloads 0
Software planning and scheduling in software management
In software management effective project planning and scheduling is essential. Inability to design and additionally helpless administration can cause postponements and costs that, given planning and spending limitations,...
Instruction of Citation Management Tools by Academic Librarians: The Need for Training the Trainers
The present paper is the result of a research which aimed to review the current level of support and training provided for the reference management software (also known as citation management tools) by academic libraries...
Increase of Precision on the Top of the List of Retrieved Web Documents Using Global and Local Link Analysis
At present, information derived from the cross-references among pages is used to improve the results of Web-based information retrieval systems, as constantly occur in bibliometric techniques. The references are local wh...
Information retrieval and machine learning: Supporting technologies for web mining research and practice
With the enormous increase in recent years in the volume of information available on-line, and the consequent need for better techniques to access this information, there has been a strong resurgence of interest in Web M...
Evidence-based medical librarianship in Iran: an introduction
There are various barriers for physicians to practice Evidence-Based Medicine. Librarians working in hospitals and medical school libraries can cooperate with physicians to facilitate the Evidence-Based Medical Practic...