As new machine learning (ML) techniques continue to advance and provide the promise of better performance, platform teams everywhere are trying to adapt to support increasingly complex models. While many models served at Etsy still use "classic" model architectures (such as gradient-boosted trees), there has been a large shift and preference for deep learning techniques. The decision for the Search Ranking (SR) team to use deep learning in particular necessitated advances in ML Platform capabilities. In this post, we'll go over the workload-tuning and observability capabilities we created to combat the challenges serving deep learning ranking at scale within Etsy. Ranking use cases tend to be trickier to serve at low latency and low cost relative to other ML use cases.

Google has traditionally been against automatically generated content (AGC) stating that it is against their webmaster guidelines and falls into the category of spam. Given AI written content is also auto-generated, does Google considers AI-written content spam and violating guidelines? Has the position changed over time? As per the latest updates, the position seems to have changed. Let's explore Google's current position and updates over time in this article.

Brave is probably best known among hardcore geeks as one of Chrome's challengers. But for awhile now, the company has offered more than just a privacy-minded browser. A year ago, it launched the beta for a search engine, too--and now, on its first anniversary, Brave Search has hit a milestone of 2.5 billion queries, with a peak of 14.1 million queries in one day. For a nascent search engine, these numbers are big. As Brave claims in a blog post, it's won this achievement faster than Google (who took over a year to meet the same goal), plus run circles around DuckDuckGo. Its privacy-oriented rival took four years to cross the same threshold.

Discussions about SEO have become so advanced that some important parts of SEO are being neglected. Silo structure is a case in point. The grandmaster of SEO, Bruce Clay, said it better when he said: "To rank for keywords in Google and Bing, a site must provide information in a clear structure and formats that search engines understand… Siloing is not all there is to ranking, but without it, the on-page relevancy battle is lost." Google and other search engines prioritize easy-to-index sites because of the simple reason that they make the work of search engines easier and keep humans happier. But rather than wax lyrical about these, let's put the benefits of having a silo-structured website in perspective.

In this paper, we propose a new product knowledge graph (PKG) embedding approach for learning the intrinsic product relations as product knowledge for e-commerce. We define the key entities and summarize the pivotal product relations that are critical for general e-commerce applications including marketing, advertisement, search ranking and recommendation. We first provide a comprehensive comparison between PKG and ordinary knowledge graph (KG) and then illustrate why KG embedding methods are not suitable for PKG learning. We construct a self-attention-enhanced distributed representation learning model for learning PKG embeddings from raw customer activity data in an end-to-end fashion. We design an effective multi-task learning schema to fully leverage the multi-modal e-commerce data. The Poincare embedding is also employed to handle complex entity structures. We use a real-world dataset from grocery.walmart.com to evaluate the performances on knowledge completion, search ranking and recommendation. The proposed approach compares favourably to baselines in knowledge completion and downstream tasks.

As 2018 comes to a close, a savvy marketer will be looking ahead to the upcoming year and developing a digital marketing strategy to stay ahead of the competition and boost brand awareness. With so many changes that occurred at the end of 2018, it's important to revamp your strategy and account for current trends, strategies, and technologies to maximize your efforts. Search engines are now favoring clusters of content that surround a particular topic, as opposed to keywords. If you want to stay at the top of the search rankings, you need to develop these content clusters that link to one another. To do this effectively, you need a broad topic outline that covers the most pertinent subcategories.

Artificial Intelligence and deep learning are quickly changing how industries like healthcare and financial services are successful in the online space. Deep Learning optimization is now a core topic in the Machine Learning community that seeks to keep up with the latest search techniques. The long-term benefits of highly structured pages built with organized data will offer your business better results in search rankings. We're living in exciting times; it is inspiring to see what deep learning is brought to online business! Modern machine learning approaches, such as deep learning, are the beginning of the future of search.

When we think SEO, Google is the next thought most of the time, right? Pleasing the "Google Gods" gets trickier as technology evolves. The art of staying visible on the web is always changing, and unless you're an SEO specialist, it can be tough to stay on top of the ever-evolving trends. There is so much global competition. And web user attention spans are perilously short.

It was not long ago thatArtificial Intelligence (AI) was only in the realm of science fiction. Today, it has become a reality and is only growing more prominent in many different industries every day. This includes the internet as AI in search engine technology has been around for a few years. The algorithms used to rank pages have been affected considerably by AI already and that trend will continue into the foreseeable future. How Popular Search Engines Will Evolve in the AI Process Currently, Google's RankBrain, an AI process used help set search engine rankings, is having a major impact which is only expected to expand.

All too often, when we think of SEO, we only think of Google. And of course you want great rankings in the search engines. However, your website isn't the only place on the web where you may be selling your product. If you have a product page on Amazon, you want it to be found by customers just as you would want your site to show up on the first search engine results page (SERP) for your industry keywords. Failure to do Amazon SEO right, just like with regular SEO, will result in less traffic and fewer sales.