Name
Title | ||
|---|---|---|
RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes. |
Abstract | ||
|---|---|---|
•A novel semantic-based recommender system in the leisure domain is proposed.•The context-aware approach is based on location, time and crowd information.•Recommended items are viewed as composed items: movie theater+movie+showtime.•Good performance results were obtained under cold-start real world scenarios. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.eswa.2014.09.016 | Expert Systems with Applications |
Keywords | Field | DocType |
Knowledge-based recommender systems,Context-aware systems,Semantic Web,Ontology reasoning | Recommender system,Semantic similarity,Data mining,Ontology,Contextual information,Computer science,Semantic Web,Context model,Mobile device,User interface | Journal |
Volume | Issue | ISSN |
42 | 3 | 0957-4174 |
Citations | PageRank | References |
7 | 0.41 | 29 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis Omar Colombo-Mendoza | 1 | 27 | 4.28 |
| Rafael Valencia-garcía | 2 | 630 | 54.42 |
| Alejandro Rodríguez-González | 3 | 104 | 26.37 |
| Giner Alor-Hernández | 4 | 136 | 39.47 |
| José Javier Samper Zapater | 5 | 7 | 0.75 |