Eric Wu   

@eywu

Head of Product & Growth . I ❤️Lean & . Mentor, Advisor, Angel Investor, Consultant, Dev, and Search Geek [IR, NLP, ML]

Los Angeles, CA
Vrijeme pridruživanja: ožujak 2007.

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  1. Prikvačeni tweet
    26. ruj 2019.

    I made a SEO rendering 'rules-of-thumb' for . For sites/pgs w/ high above-the-fold interactivity (i.e. Vote up on StackOverflow) use On-Demand SSR. For publisher's evergreen content use Static rendering. Be judicious when using Hydration

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  2. proslijedio/la je Tweet
    23. sij

    Did you know that the image thumbnails in Featured Snippets lead you to another SERP, instead of the page that's ranking in the Featured Snippet? Just another example of how Google is not interested in sending traffic to other sites anymore.

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  3. proslijedio/la je Tweet
    14. sij

    First seen on the 12th of Jan 2020: Looks like Google started using Chrome version numbers in their User-Agent strings.

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  4. proslijedio/la je Tweet
    13. sij
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  5. 10. pro 2019.

    I guessed this was before she even said so. these are soooo goood!

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  6. 10. pro 2019.
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  7. proslijedio/la je Tweet

    Making offer available to the first 10 crypto experts who respond. Would you like to participate & get a free custom BIP38 wallet, where the private key is encrypted by a passphrase of your choosing? Go here & give me your Intermediate Code

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  8. proslijedio/la je Tweet

    We gave everyone at Sticker Mule a $1,000 bonus!

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  9. 5. pro 2019.

    Notes: "NLP for Outreach + Link Building by Link building has many manual tasks & quickly responding to inquiries can improve link acquisition conversions. Using NLP tools you can annotate your unstructured emails & request into filterable data

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  10. 5. pro 2019.

    Note: "Crawl Budget Conqueror by " Crawl budget is a limited resource but not entirely finite. Pulling the right levers you can create more efficiency & increase that budget. Segment & understand where Googlebot is exploring + push it to $$$ pages

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  11. 5. pro 2019.

    Awesome panel discussion about Advanced Analytics for SEO with

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  12. 5. pro 2019.

    Notes: "Ranking Factors Going Casual by " Let's rally together & move the industry forward by taking Ranking Factors to the next level. Use the scientific toolsets and less anecdotes/simplified correlation analysis. QA, Peer Review, and Better DataViz

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  13. 5. pro 2019.

    I got to meet and talk with . So excited 🥰🥳🤩

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  14. 5. pro 2019.

    Note: "The User is The Query: Predictive Search by " We know search is constantly change because the web is. But people are a huge factor in this change by how, when, and what they expect from information gathering. The future is search without queries

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  15. 5. pro 2019.

    Notes: Pagination: You’re Doing it Wrong! by Tobias Schwarz There's more to pagination and crawlability than you'd ever imagine 🤯 Tobias explores the various ways of displaying pagination to maximize both. Consider the use case and site type

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  16. 5. pro 2019.

    Notes: "Generating Quality Content in Different Languages by " Want to automate the generation of high quality content, title tags, etc? The days of spinning content are over. With ML transformers like OpenAI's GPT-2 you can do this in any language.

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  17. 5. pro 2019.

    Faceted Navigation by Faceted navigation can be a huge mess. Culling URLs can help with Crawl Budget but ultimately it can improve traffic. Do the analysis to see if there's true search demand and as you adjust your facets, measure along the way.

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  18. 5. pro 2019.

    Notes: "Building a Crawler, Rendering, and Indexer with " Building a web crawler & indexer isn't easy but there are a few key parts to consider. The crawl queue, deduping URLs / content, and parsing can be tricky. NLP like BERT is surprisingly accessible.

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  19. 5. pro 2019.

    Notes: Google & JavaScript Rendering by Googlebot's web rendering service (WRS) is more complicated than people might think. The web is messy and layout thrashing can really negatively impact the time for web rendering. Try to reduce resource requests.

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  20. 4. pro 2019.

    Forgot the group picture, but thanks for the amazing dinner tonight with , , , ‘a Julie Goodman, and SEMRush’s Daria

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  21. 4. pro 2019.

    Notes: "Bias in Search and Recommender Systems by Ricardo Baeza-Yates" There are many obvious + non-obvious biases that arise in search & recommendation systems. Even A/B testing or Click Stream data can fool you. Data is inherently biased. Be aware to combat bias

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