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02 Dec 09
分析师报告称谷歌将主导美国移动搜索领域_互联网_科技时代_新浪网
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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。
30 Nov 09
Knx.To Is Your Social Graph And Address Book Rolled Into One
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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.
Infoaxe Launches Real-Time Search Engine Based On Web History Platform
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There are a number of real-time search engines in the space, including Collecta and OneRiot. Today, at the Real-Time CrunchUp, Infoaxe debuts its real time search engine.
Mark Cramer of Surf Canyon on Getting Traction, Part I - Gabriel Weinberg's Blog
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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.
Hacker News | Follow on: Use DBMS or fs?
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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:
16 Feb 09
Search Y Combinator - Blog
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Some have speculated that we've moved on. And while that's true to some extent, we are still actively maintaining this website as a service to the YC community. Call it a personality flaw, or whatever you want, but there's just something about letting a website die that doesn't sit well with me.
30 Nov 08
Leapfish Launches Another Meta Search Engine No One Will Ever Use
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The answer: people don’t want to get as many search results as possible and they don’t care about how large the unindexed part of the internet is, let alone what they might find on this so-called “invisible deep web.” All they want is a quick, convenient way of obtaining decent information from a source they know and trust. Or do you honestly visit Search.com
, Dogpile, Zuula, Fazzle, Clusty or Mamma.com to get what you need? (I can go on with this list forever, but ask Mark Cuban about how much that last one is worth).
Web Search APIs from Yahoo! Search Web Services - YDN
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Related Suggestion
The Related Suggestion service returns suggested queries to extend the power of a submitted query, providing variations on a theme to help you dig deeper.
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