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Joel Liu's Library tagged search →  View Popular, Search in Google

Sep
1
2010

  • It’s dead simple to use. Sign up and authorize any number of social services for Greplin to index – I signed into Facebook, Twitter and Google Voice to start. After a few minutes of indexing time Greplin then presents you with a Google-like search box. Run a query and find the public and private data you’ve locked away on those sites. Tweets, including DMs, are shown, as well as Facebook messages and Google Voice voicemail transcriptions and SMS. You can also index Gmail, Dropbox, LinkedIn and a bunch of other services.
  • And the story behind the company is just as compelling. It was founded by Daniel Gross when he was 18 (he’s all of 19 now). Daniel, a dual U.S./Israeli citizen, lived in Jerusalem his entire life until moving to California to go through the Y Combinator incubator period this last winter. The original inspiration for Greplin? Says Y Combinator cofounder Paul Graham: “He was on his way to a party, and he didn’t remember where the address was stored. Was it a Facebook event, or in an email, or in his calendar? It was a pain to try searching all these things from his phone.” So he built the solution.
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Feb
26
2012

    • Services will be get better and better at finding what you want based on a deeper understanding of:

      Context

      • What you're like - as measured by your behavioral profile and trends, including past searches, social connections, browsing history, etc.
      • Who you're like - search engines will be able to target results based on how you fit into groups of people with similar interests, tastes, and other traits, as collaborative filtering algorithms and the datasets they have at their disposal improve
      • Where you are - as measured by geolocation and other sensors which will increasingly be able to know your altitude, orientation, local temperature, etc.
      • How you feel - as measured by device cameras and mics, which will be able to discern your mood and reactions by your facial expressions and vocal tones, and increasingly other sensors which can measure changes in body temperature, etc.
    • Content

      • What it means - as allowed for by increasingly structured data and improved artificial intelligence, similar content will be clustered together into category hierarchies, allowing search to be more a quick process of selection and elimination, instead of a long exercise in parsing and clicking
      • Where it's been - ubiquitous and standardized content metadata will allow seamless traceability of the path content has taken, and how it's changed along the way, which will help identify it's level of relevancy to other content

      Services will also continue to improve input and output interfaces for carrying out a search, as well as presenting and managing results.
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Aug
10
2010

  • The premise behind this search app is simple: going to Web sites on your phone to find information is a pain.

    In response, the goal of the DDG app is to get you the information you want in zero clicks, without having to go to any sites.

    To do that, we go out to the top links in real time and pull back the most relevant paragraphs for your particular search. These paragraphs go in a section labeled 'Topic Summaries.' They function like normal links, but with the readable paragraphs on top.
Dec
2
2009

  • 　　在本次调查中，共有69%的受访者表示，智能手机使之进行了更多搜索，但只有58%的用户表示，智能手机使之观看了更多的网页。这表明，在移动领域，搜索广告比显示广告拥有更大的机会。这也表明智能手机对网络搜索的影响要大于网络浏览。

      

    　　除此之外，更短的浏览时间和格式限制等因素也使得手机显示广告点进率(click-through rate)低于桌面显示广告，对手机显示广告的增长形成压力。

Nov
30
2009

  • Angstro, a 2008 TechCrunch50 startup, launched with a product that socialized the content on the web by tapping into your social graph. At the Real-Time CrunchUp today the startup is launching Knx.to, a real-time search engine capability and API that looks up most recent social information about any of your friends, from their LinkedIn profile to their Flickr account to their Facebook profile.
  • To enable the application, you sign into your Twitter, Gmail, Facebook, LinkedIn, Flickr accounts via oAuth, Facebook Connect and more. When a friend calls you (or you call a friend), the technology will automatically scan all of your social networks, identify if the contact is a friend, and will pull all the most recent photos, Tweets, status updates, and more into its search pane. The idea is to give a social context to all of your contacts, which is definitely useful information for both professional and personal contacts.

  • Mark Cramer is CEO of Surf Canyon, a company that makes a free browser add-on for real-time personalized search. Mark explains how his add-on has come to be downloaded over 1.3 million times and how it came to be written up by Walt Mossberg. Mark also talks about add-on monetization and tells us how his company decided to make an add-on in the first place.

  • Another reason to not use a DBMS for a search engine is that typical implementations of transaction-oriented SQL databases are a terrible fit for the performance requirements of a search engine. For example, search engines don't need concurrent writes or ACID transactions, or SQL-like query language; search engines want to optimize for large-scale updates, not small, random writes; typical DBMS index structures (btree) don't work well for search engine indices.

    Eric Brewer has an interesting paper that lays out an architecture for a search engine that is consistent with DBMS design principles, but differs significantly in the implementation details:

    http://www.cs.berkeley.edu/~brewer/papers/SearchDB.pdf

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