Name
Abstract | ||
|---|---|---|
Recommender systems are becoming increasingly important for businesses because they can help companies offer personalized product recommendations to customers. There have been many acknowledged recognized successes of consumer-oriented recommender systems, particularly in e-commerce. In this work, we describe our experiences building a business-to-business (B2B) recommendation engine that matches ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1147/JRD.2016.2602097 | IBM Journal of Research and Development |
Keywords | Field | DocType |
Recommender systems,Business,Production development,Business-to-business communication,Decision making,Cognition,Consumer behavior | Recommender system,Data science,Interpretability,IBM,Software deployment,Computer science,Real-time computing | Journal |
Volume | Issue | ISSN |
60 | 5/6 | 0018-8646 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michail Vlachos | 1 | 1899 | 113.39 |
| V. G. Vassiliadis | 2 | 8 | 1.64 |
| Reinhard Heckel | 3 | 0 | 0.34 |
| A Labbi | 4 | 20 | 4.43 |