PRIVATE COMMUNITY MANAGEMENT

Users, approvals and learning data

Review traveller submissions and monitor the de-identified choices that will eventually support a tested recommendation model.

0Registered users

0Waiting for approval

0Published itineraries

0Trips with learning signals

Logistic-regression dataset

0 de-identified learning events collected. The public site continues to show rule-based scores until a trained model is proven more accurate.

Collecting data · model not active

Download de-identified training CSVNo names, emails or raw trip text are included.

The model remains off until at least 100 usable trips exist and testing proves it beats the rule-based ranking.

Pending submissions appear first.

Deleting a user also removes their saved trips, submissions, votes and sessions.

Name	Email	Joined	Saved trips	Submissions	Action