Lightweight user modeling – a case study
| Data(s) |
29/04/2013
29/04/2013
2011
21/04/2013
|
|---|---|
| Resumo |
In the context of previous publications, we propose a new lightweight UM process, intended to work as a tourism recommender system in a commercial environment. The new process tackles issues like cold start, gray sheep and over specialization through a rich user model and the application of a gradual forgetting function to the collected user action history. Also, significant performance improvements were achieved regarding the previously proposed UM process. |
| Identificador |
DOI 10.1007/978-3-642-19917-2_10 978-3-642-19916-5 978-3-642-19917-2 1867-5662 |
| Idioma(s) |
eng |
| Publicador |
Springer Berlin Heidelberg |
| Relação |
Advances in Intelligent and Soft Computing; Vol. 89 http://link.springer.com/chapter/10.1007/978-3-642-19917-2_10 |
| Direitos |
closedAccess |
| Palavras-Chave | #User modeling #Tourism #Recommendation |
| Tipo |
bookPart |
