{"blocks":[{"key":"1mube","text":"How would you define a “frequent traveler”?","type":"unstyled","depth":0,"inlineStyleRanges":[],"entityRanges":[],"data":{}},{"key":"naqi","text":"Which data points or features would you use to identify frequent travelers?","type":"unstyled","depth":0,"inlineStyleRanges":[],"entityRanges":[],"data":{}},{"key":"95ca6","text":"Why is it important to consider both frequency and distance of location changes rather than just frequency alone?","type":"unstyled","depth":0,"inlineStyleRanges":[],"entityRanges":[],"data":{}},{"key":"8i5u0","text":"Once you’ve identified frequent travelers, how can you use this information in a product or service?","type":"unstyled","depth":0,"inlineStyleRanges":[],"entityRanges":[],"data":{}},{"key":"8gml5","text":"What analytical or modeling approaches might you use to classify users as frequent travelers?","type":"unstyled","depth":0,"inlineStyleRanges":[],"entityRanges":[],"data":{}},{"key":"fbvn9","text":"What pitfalls might arise if you only focus on the frequency of location changes without considering distance?","type":"unstyled","depth":0,"inlineStyleRanges":[],"entityRanges":[],"data":{}}],"entityMap":{}}