Name
Abstract | ||
|---|---|---|
In a number of domains of interest for recommender systems, items are characterized by constrained and variable "capacity": the same product or service can be consumed by a limited number of users and the possibility of item consumption depends on contextual circumstances (e.g., time). Our work explores recommenders in the context of these "bounded" domains. We consider online hotel booking as a case study, and investigates if and how "missing" items (hotels that eventually becomes unavailable for users' consumption) affect the quality of recommendations. The paper proposes a technique for defining "missing" items as "best items", and presents an articulated empirical research in which recommendations for hotel online booking are evaluated in different experimental conditions with a user centric approach involving 142 participants. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2507157.2507225 | RecSys |
Keywords | Field | DocType |
best item,hotel online booking,articulated empirical research,different experimental condition,recommender system,top-n recommendation,item consumption,online hotel booking,contextual circumstance,case study,limited number | Recommender system,Data mining,World Wide Web,Computer science,Empirical research,Bounded function,User-centered design | Conference |
Citations | PageRank | References |
2 | 0.39 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paolo Cremonesi | 1 | 1306 | 87.23 |
| Franca Garzotto | 2 | 1245 | 203.98 |
| Massimo Quadrana | 3 | 239 | 13.89 |