Search Engine Journal: 25 Things You Didn’t Know About Baidu. “In the United States, we have Google. In China, they have Baidu. If you’re wondering, ‘what does this have to do with me?’ I get it. What does China’s biggest tech company have to do with you? A lot, if you’re involved with marketing and SEO.”
Towards Data Science: How we built an AI-powered search engine (without being Google). “In this article, I’ll be recounting the difficulties of creating a generalizable, AI-powered search engine, and how we developed our solution, NBoost.”
Search Engine Journal: BERT Explained: What You Need to Know About Google’s New Algorithm . “BERT will impact around 10% of queries. It will also impact organic rankings and featured snippets. So this is no small change! But did you know that BERT is not just any algorithmic update, but also a research paper and machine learning natural language processing framework?” A webinar recap but also a deep dive.
Wired: I ditched Google for DuckDuckGo. Here’s why you should too. “What was the last thing you searched for online? For me, it was ‘$120 in pounds’. Before that, I wanted to know the capital of Albania (Tirana), the Twitter handle of Liberal Democrat deputy leader Ed Davey (he’s @EdwardJDavey) and dates of bank holidays in the UK for 2019 (it’s a late Easter next year, folks). Thrilling, I’m sure you’ll agree. But something makes these searches, in internet terms, a bit unusual. Shock, horror, I didn’t use Google. I used DuckDuckGo. And, after two years in the wilderness, I’m pretty sure I’m sold on a post-Google future.”
Search Engine Journal: The Top 5 Things Wrong in the WSJ ‘Expose’ of Google . “There are legitimate criticisms that many in the SEO industry have leveled at Google, ranging from their proclivity to take content from publishers to their data collection practices and their apparent penchant for favoring their own products/services, among others. No organization is perfect, and Google is no exception. But none of that justifies the use of shoddy, agenda-driven journalism to propagate a false narrative.”
The Sociable: NIST research effort to measure bias in results we get from search engines: ‘Fair Ranking’. “As part of its long-running Text Retrieval Conference (TREC), which is taking place this week at NIST’s Gaithersburg, Maryland, campus, NIST has launched the Fair Ranking track this year, which is an incubator for a new area of study that aims to bring fairness in research. The track has been proposed and organized by researchers from Microsoft, Boise State University and NIST, who hope to find strategies for removing bias, by finding apt ways to measure the amount of bias in data and search techniques.”