Dawn Anderson shares her expertise of semantic relationships of content for the EDGE audience, in this second part of her interview with Erin Sparks. They dive in the machine learning concepts that are being honed right now for search engine to better understand th relationship between topics and the method of semantic distancing. Search machine learning is sorting out what is valuable and relevant to the user in ways it has never done before, and Dawn Anderson weighs in on whether data science should be a place for the SEOs of the world to focus on - get a chuckle at timestamp: 0:39:04! [00:01:40] EDGE of the Web Title Sponsor: Site Strategics [00:04:44] What is Next in Semantic Search? [00:07:09] The Dense Retrieval Process [00:08:35] Pulling Hard Negatives to Speed Up Search [00:12:25] Search Result Diversification is Expensive [00:13:14] EDGE of the Web Title Sponsor: Site Strategics [00:13:13] The Research is Open Source [00:16:06] Walnuts and Peanuts: It's All About Importance [00:18:43] It's Not the Amount of Content, It's the Completedness of the Niche Topic [00:20:33] What is Semantic Distancing? [00:24:50] You've Got to Know More About Their Industry Than They Do [00:28:01] Is That Page Good Enough to Represent the Query? [00:31:20] Finding the Content Gap in Client's Industry [00:33:27] Blogs are Jumble Sales! Thanks to our sponsors! Site Strategics https://www.sitestrategics.com Follow Dawn:  https://www.twitter.com/dawnieando https://www.facebook.com/dawnlesleyanderson https://www.linkedin.com/in/msdawnanderson/ https://www.instagram.com/dawnieando