Our Favorite Posts Of Last Week (May 27, 2018)

The importance of transparency and understanding risk in link building

The most important part of the relationship between you and your link builder might not be what you think. You want them to follow Google’s guidelines (or you might not care) and build great links.
Link: https://searchengineland.com/the-importance-of-transparency-and-understanding-risk-in-link-building-298635
Word Count: 1191

NLP word representations and the Wittgenstein philosophy of language

I made an introductory talk on word embeddings in the past and this write-up is an extended version of the part about philosophical ideas behind word vectors.
Link: http://blog.christianperone.com/2018/05/nlp-word-representations-and-the-wittgenstein-philosophy-of-language/
Word Count: 1482

See what the world is searching for with the updated Google Trends

Google Trends has become a key part of journalistic storytelling, giving reporters everywhere an insight into search trends across the world.
Link: https://www.blog.google/topics/trends/see-what-world-searching-updated-google-trends/
Word Count: 206

Verifying Googlebot

You can verify if a web crawler accessing your server really is Googlebot (or another Google user-agent). This is useful if you're concerned that spammers or other troublemakers are accessing your site while claiming to be Googlebot.
Link: https://support.google.com/webmasters/answer/80553
Word Count: 188

Lazy Loading Images and Video

The portion of images and video in the typical payload of a website can be significant. Unfortunately, project stakeholders may be unwilling to cut any media resources from their existing applications.
Link: https://developers.google.com/web/fundamentals/performance/lazy-loading-guidance/images-and-video/
Word Count: 4171

A simple spell checker built from word vectors

If you have heard of word vectors, you will probably know they enable a type of algebra on words. So, for example, What is less well known¹ is that you can use the same word vector algebra to fix spelling mistakes.
Link: https://medium.com/@erushton214/a-simple-spell-checker-built-from-word-vectors-9f28452b6f26
Word Count: 3186

Advances in Semantic Textual Similarity

The recent rapid progress of neural network-based natural language understanding research, especially on learning semantic text representations, can enable truly novel products such as Smart Compose and Talk to Books.
Link: http://ai.googleblog.com/2018/05/advances-in-semantic-textual-similarity.html
Word Count: 823

Ask the SMXpert: SEO markup and structured data

The Ask the SMXpert series continues the question and answer (Q&A) segment held during sessions at Search Marketing Expo (SMX) West 2018. Today’s Q&A is from the Successful SEO Using Markup & Structured Data session with Alexis Sanders. With an introduction from moderator Chris Sherman.
Link: https://searchengineland.com/ask-the-smxpert-seo-markup-and-structured-data-298492
Word Count: 708