E-commerce Personalization with Elasticsearch
نویسندگان
چکیده
منابع مشابه
Personalization in E-Commerce Applications
This chapter is about personalization and adaptation in electronic commerce (e-commerce) applications. In the first part, we briefly introduce the challenges posed by e-commerce and we discuss how personalization strategies can help companies to face such challenges. Then, we describe the aspects of personalization, taken as a general technique for the customization of services to the user, whi...
متن کاملA Personalization Recommendation Algorithm for E-Commerce
Many recommendation systems employ the collaborative filtering technology, which has been proved to be one of the most successful techniques in recommendation systems in recent years, the difficulties of the extreme sparsity of user rating data have become more and more severe. To solve the problems of scalability and sparsity in the collaborative filtering, this paper proposed a personalizatio...
متن کاملEvaluating Personalization and Persuasion in E-Commerce
The use of personalization and persuasion has been shown to optimize customers’ shopping experience in e-commerce. This study aims to identify the personalization methods and persuasive principles that make an ecommerce company successful. Using Amazon as a case study, we evaluated the personalization methods implemented using an existing process framework. We also applied the PSD model to Amaz...
متن کاملSocial Factors in E-commerce Personalization*
Permission is granted to quote short excerpts and to reproduce figures and tables from this report, provided that the source of such material is fully acknowledged.
متن کاملSeamless Personalization of E-commerce Applications
In this paper we present an original approach for personalizing complex Web applications, in particular e-commerce applications. This approach is based on a clear separation of concerns, namely: base application functionality, user profile management, and personalization rules, and supports seamless addition of personalization features (such as recommendations, special offers, individual interf...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2019
ISSN: 1877-0509
DOI: 10.1016/j.procs.2019.04.160