12 apr 2007 kl. 12.19 skrev Steffen Heinrich:
The intended system however can not be trained by user input. The suggestions have to come from a given corpus (e.g. an ocasionally updated product database). Do you think adopting your package to set up the tries from a corpus would be fairly easy?
You can train it with any data you want. So you would need to figure out what people probably will be searching for. The first thing I can think of is to extract the most frequenct n grams at a word level in your title field, or so. It is tough to say what might actually work. Frequent phrases in the corpus might have nothing to do with consumer popularity.
If I understand everyhing, your application is installed locally on consumer machines. Perhaps you could allow end users to share anonymous data based on taste and build a set per end user. Collaborative filtering comes to mind. Reducing a data set to something relevant usually equals behavioural analysis.
Hope this helps. -- karl --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
