Intelligent filters
3 good definitions I read about 'intelligent filtering':
1. Collaborative (or social filtering): the software compares the user's preferences to those of other users to predict which information will be of interest. Collaborative filtering makes use of agents which learn from other agents. It offers the tantalizing potential for community-building: the software's ability to match up like-minded individuals has important implications for eliminating work redundancies and creating communities of practice accross functional areas or within geographically dispersed organisations. This is like in Ecademy or in LinkedIn interfaces.
2. Psychographic filtering: uses a pyschographic profile to perform the same function as the collaborative filter. Like in MSN or CNN news channels that the user can define to his region.
3. Adaptive filter: this is the most sophisticated of the filters. By asking the user to rate material that has been delivered, the software is able to 'learn' the user's preferences, changing course (along with her). That's probably there that the user stops. I search quite often some technical articles on MSDN, where the search engine asks me to rate the article. I never do it...
1. Collaborative (or social filtering): the software compares the user's preferences to those of other users to predict which information will be of interest. Collaborative filtering makes use of agents which learn from other agents. It offers the tantalizing potential for community-building: the software's ability to match up like-minded individuals has important implications for eliminating work redundancies and creating communities of practice accross functional areas or within geographically dispersed organisations. This is like in Ecademy or in LinkedIn interfaces.
2. Psychographic filtering: uses a pyschographic profile to perform the same function as the collaborative filter. Like in MSN or CNN news channels that the user can define to his region.
3. Adaptive filter: this is the most sophisticated of the filters. By asking the user to rate material that has been delivered, the software is able to 'learn' the user's preferences, changing course (along with her). That's probably there that the user stops. I search quite often some technical articles on MSDN, where the search engine asks me to rate the article. I never do it...
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