Lightweight user modeling – a case study
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 gradua...
| Autor principal: | |
|---|---|
| Outros Autores: | , , |
| Formato: | bookPart |
| Idioma: | eng |
| Publicado em: |
2013
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.22/1472 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/1472 |
| 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. |
|---|