Integrating AHP and data mining for product recommendation based on customer lifetime value

By Duen-Ren Liu, Ya-Yueh Shih. Information Manager (The), 2005

387 citations recorded by the source corpus.

Subfields: Information Systems, Marketing, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/261e3844038f245a04004400922d66e92dbc4a60

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Ashutosh Tiwari
2. Atsushi Sato
3. Neil Yuwen Yen
4. Runhe Huang
5. Rajkumar Roy

In Marketing

1. John Hadden
2. Ashutosh Tiwari
3. Dymitr Ruta
4. Rajkumar Roy

In Organizational Behavior and Human Resource Management

1. John Hadden
2. Ashutosh Tiwari
3. Dymitr Ruta
4. Rajkumar Roy

Citations in the corpus

• Design of fusion technique-based mining engine for smart business (2015, background): “In order to achieve well, and efficient, prediction, understanding the trend (or movement of peak [43] in trend) is also important after the preference of user is correctly obtained.”
• A literature review and classification of recommender systems research (2012, neutral): “…field Data mining techniques Reference k-NN Cho and Kim (2004) Association rule, k-NN Liu and Shih (2005a) Association rule, k-NN Liu and Shih (2005b) Association rule, clustering Cho, Cho & Kim (2005) k-NN, regression Kim, Yum, Song, and Kim (2005) Decision tree Yu, Ou, Zhang,…”
• Computer assisted customer churn management: State-of-the-art and future trends (2007, background): “The following definitions of all three RFM variables have been taken from Liu and Shih [12].”