Empirical Analysis of the Impact of Recommender Systems on Sales
By B. Pathak, R. Garfinkel, R. Gopal, R. Venkatesan, Fang Yin. Journal of Management Information Systems, 2010
312 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Marketing, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/96f80634bbad3a2035c0f6c568c0bbef268cd37f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Panniello Umberto
- Yetunde Folajimi
- Hakan Soncu
- Martijn C. Willemsen
- Bolanle Adefowoke Ojokoh
- Folasade Olubusola Isinkaye
- Zeno Gantner
- Bart P. Knijnenburg
In Marketing
- Panniello Umberto
- Yetunde Folajimi
- Hakan Soncu
- Martijn C. Willemsen
- Bolanle Adefowoke Ojokoh
- Folasade Olubusola Isinkaye
- Zeno Gantner
- Bart P. Knijnenburg
In Sociology and Political Science
Citations in the corpus
- Explaining the user experience of recommender systems (2012, background): “Especially for recommender systems, knowing the object of evaluation is critical in understanding the dynamics of the user experience (Pathak et al. 2010; Tintarev and Masthoff 2012): When we say that the user”
- Recommendation systems: Principles, methods and evaluation (2015, background): “Recommendation systems have also proved to improve decision making process and quality [5].”
- Developing a Price-Sensitive Recommender System to Improve Accuracy and Business Performance of Ecommerce Applications (2015, background): “Pathak et al. 14 found that the strength of recommendations has a positive impact on sales.”