The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Towards a Design Process for Integrating Product Recommendation Services in E-Markets
Abstract
Online recommendation services (widely known as recommender systems) can support potential buyers by providing product recommendations that match their preferences. When integrated into e-markets, recommendation services may offer important added value, since they can help online buyers to save time and make informed purchase decisions, as well as e-market operators to respond to buyer product’s queries in a more efficient manner, thus attracting more potential buyers. On the other hand, the variety of intelligent recommendation techniques that can support such services may often prove complex and costly to implement. Towards this direction, this chapter proposes a design process for deploying intelligent recommendation services in existing e-markets, in order to reduce the complexity of such kind of software development. To demonstrate the applicability of this approach, the proposed process is applied for the integration of a wine recommendation service in a Greek e-market with agricultural products.
Related Content
|
Kamel Mouloudj, Vu Lan Oanh LE, Achouak Bouarar, Ahmed Chemseddine Bouarar, Dachel Martínez Asanza, Mayuri Srivastava.
© 2024.
20 pages.
|
|
José Eduardo Aleixo, José Luís Reis, Sandrina Francisca Teixeira, Ana Pinto de Lima.
© 2024.
52 pages.
|
|
Jorge Figueiredo, Isabel Oliveira, Sérgio Silva, Margarida Pocinho, António Cardoso, Manuel Pereira.
© 2024.
24 pages.
|
|
Fatih Pinarbasi.
© 2024.
20 pages.
|
|
Stavros Kaperonis.
© 2024.
25 pages.
|
|
Thomas Rui Mendes, Ana Cristina Antunes.
© 2024.
24 pages.
|
|
Nuno Geada.
© 2024.
12 pages.
|
|
|