These look like diffs to me, which I'm okay with. Not sure where the ML will come to play, and honestly, just calling it a site that shows "updates" or "changes" to 2020 candidate sites is good enough.
Very cool idea.<p>It's not clear where you're using ML from the site - URLs seem chronological, not ranked on "relevance/importance" and I can't see any relevance/importance indicators.<p>I'm curious to hear some more detail on how you're encoding your visual diff model?<p>BTW I ran into 2 issues:
1. You can't zoom out on your image diff slider
2. I got this error when I returned to the site after closing it:
{"crossDomain" : true, "method" : "GET", "url" : "https : //api.fluxguard.com/publi c/site/7f646558-f754-447a -b627-9b5202c8a1f2/page?l imit=10&publicAccount=cam paignmonitor"} Please contact us if this is error is happening frequently for you.
Hi folks: So we're monitoring most major 2020 Presidential Candidates' sites for visual + HTML/DOM + network + extracted text changes. (You can see all detected changed at the above link.) There's a lot of noise! So we're using ML to identify significant changes. (You can see these findings so far at the top of the page.)<p>We've trained our model using detected changes from corporate sites and some earlier political sites. Each change for our model was human-rated in terms of relevance/importance, and we also feed in other descriptive attributes about each change, such as DOM location, immediate parent tag, and several other attributes.