The hottest Search Engines Substack posts right now

And their main takeaways
Category
Top Technology Topics

50 VIP trên Internet

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 05 Mar 07
🕹 Technology Internet Tech Giants Search Engines
  1. Eric Schmidt, Larry Page, and Sergey Brin, the executives from Google, are collectively worth $33 billion and have grown Google into a powerhouse.
  2. Steve Jobs, the CEO of Apple, popularized legal music and movie downloads, and the iPhone was set to revolutionize Internet browsing on mobile devices.
  3. Bram Cohen, the cofounder of BitTorrent, created a technology adept at handling large files, despite facing setbacks with copyrighted content, BitTorrent now contributes to more than a third of all Web traffic.

Search & Society: A Fundamental Shift

The Digital Anthropologist • 0 implied HN points • 05 Apr 24
🕹 Technology Search Engines Artificial Intelligence Augmented reality Digital Transformation Data Analysis
  1. Searching is instinctual and vital for survival, helping us gather information and turn it into knowledge. It is a fundamental aspect of how we interact with our world.
  2. The way we search, especially digitally, is undergoing significant changes as our physical and digital worlds become increasingly intertwined. Search engines are evolving to meet these new demands.
  3. Search technologies are advancing rapidly, incorporating AI tools and adapting to users' needs across various forms of interaction like voice, touch, and augmented reality. This evolution reflects a broader societal acceptance of the hybrid digital and physical world as our new reality.

Ho We Use Language About Technology

The Digital Anthropologist • 0 implied HN points • 20 Sep 23
🕹 Technology Language AI Data Analytics Search Engines
  1. Language is a crucial human technology that has enabled collaboration, storytelling, and sharing different realities.
  2. Our language is evolving to describe technologies in a more human-like manner, impacting how we interact with and perceive technology.
  3. The way we use language to shape our relationship with technology is undergoing a significant shift, influencing our self-perception in relation to technology.

The Existential Challenge for Search Engines

The Digital Anthropologist • 0 implied HN points • 25 Jul 23
🕹 Technology Search Engines Human behavior Generative AI SEO
  1. Search engines face challenges similar to newspapers did with increasing ads and advertorial content, blurring lines between sponsored and genuine content.
  2. Consumers are now more aware of SEO tactics and the dominance of ads on search engines, leading them to seek valuable results on second or third pages.
  3. There's a shift in how people want and expect to search, leaning towards in-app search features and a desire for context-driven results over mere links.

Old Enemies, New Threats

Sector 6 | The Newsletter of AIM • 0 implied HN points • 08 Feb 23
🕹 Technology AI Search Engines Software Innovation Research
  1. Microsoft is still trying to make a successful search engine. They have been working on this idea since 1998.
  2. The company is focusing on AI to improve its Bing search engine. They hope this will make Bing more competitive.
  3. There's ongoing research in technology like large language models (LLMs). New studies are being published that might change how we understand AI.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Handling Typos to Increase Speed to Success

Talking to Computers: The Email • 0 implied HN points • 29 May 24
🕹 Technology Search Engines User Experience Data processing Software Development Information Retrieval
  1. Handling typos in search helps users find what they want faster, even if they misspell words. It makes the search experience easier for people who are not perfect spellers.
  2. Search engines use techniques like Levenshtein distance to manage typos, so they rank search results based on how closely they match users' misspelled queries.
  3. Contextual typo tolerance improves search results by considering the meaning behind the words, which is often missing in smaller e-commerce sites. This way, users get more relevant suggestions rather than just similar-looking words.

The Optimal Amount of Irrelevant Search Results is Non-Zero

Talking to Computers: The Email • 0 implied HN points • 22 Apr 24
🕹 Technology Search Engines E-commerce Artificial Intelligence User Experience Data Analysis
  1. Sometimes, it's okay to have a few irrelevant search results mixed in with the good ones. This balance can help show more options, even if some aren't what you wanted.
  2. Businesses often choose to include a small number of unrelated items in search results. This helps them find a middle ground between showing only perfect matches and potentially missing out on useful items.
  3. In systems like AI, having occasional mistakes or 'hallucinations' can spark creativity. It's about finding the right balance that works for the situation.