Name
Abstract | ||
|---|---|---|
Recommender systems are integral to B2C e-commerce, with little use so far in B2B. We present a live recommender system that operates in a domain where users are companies and the products being recommended B2B apps. Besides operating in an entire new domain, the SAP Store recommender is based on a weighted hybrid design, making use of a novel confidence-based weighting scheme for combining ratings. Evaluations have shown that our system performs significantly better than a top-seller recommender benchmark. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-39200-9_42 | ICWE |
Keywords | Field | DocType |
recommender system,entire new domain,live recommender system,b2b app recommender system,novel confidence-based weighting scheme,weighted hybrid design,b2b apps,top-seller recommender benchmark,sap store recommender,b2c e-commerce | Recommender system,Data mining,World Wide Web,Weighting,Cosine similarity,Computer science | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandru Oprea | 1 | 0 | 0.34 |
| Thomas Hornung | 2 | 396 | 28.08 |
| Cai-Nicolas Ziegler | 3 | 1507 | 83.74 |
| Holger Eggs | 4 | 5 | 2.15 |
| Georg Lausen | 5 | 3687 | 526.29 |