Name
Abstract | ||
|---|---|---|
We discuss a comprehensive study exploring the impact of recommender systems when recommendations are forced to omit popular items (short head) and to use niche products only (long tail). This is an interesting issue in domains, such as e-tourism, where product availability is constrained, \"best sellers\" most popular items are the first ones to be consumed, and the short head may eventually become unavailable for recommendation purposes. Our work provides evidence that the effects resulting from item consumption may increase the utility of personalized recommendations. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2567948.2577286 | WWW (Companion Volume) |
Keywords | Field | DocType |
long tail,item consumption,comprehensive study,best seller,interesting issue,niche product,short head,product availability,popular item,personalized recommendation | Recommender system,World Wide Web,Computer science,Software | Conference |
Citations | PageRank | References |
2 | 0.40 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paolo Cremonesi | 1 | 1306 | 87.23 |
| Franca Garzotto | 2 | 1245 | 203.98 |
| Roberto Pagano | 3 | 48 | 6.18 |
| Massimo Quadrana | 4 | 239 | 13.89 |