How and why to search Twitter | Macworld

Search basics

There are a plethora of ways to mine Twitter, but let’s start with the basics at search.twitter.com. This decidedly Google-like page offers a very simple interface. It also displays Twitter’s signature list of trending topics—things that have captured the momentary attention span of Twitter users the world over.

Type your query, hit Return, and off you go. You can search for the name of a product, a person, a topic, a specific Twitter username, or a hashtag—a word with a pound sign (#) in front of it (such as: #io2011).

Hashtags on Twitter are akin to tags on Flickr or Pinboard—they’re a tool that grew organically out of the community as a way to tag a topic or event. You can click, or tap, on a hashtag on Twitter.com and most of its clients to see all other tweets that contain the same tag. You can also track hashtags, a technique that I’ll get to in a moment.

Want to see what people are saying about an event or topic? Search for a related

A useful perk of search.twitter.com is that its search results page is fluid. Instead of merely giving you a static list of results at the time you ran your query, it will actually continue watching Twitter for mentions and alert you at the top of the page when there are more to view. Dedicated apps for the Mac, iPhone, and iPad often provide a continuously updating live stream of these search results.

One drawback of Twitter’s search tools is that, because of the sheer volume of tweets its users generate, Twitter only provides access to a few days’ worth of archives. Twitter recently published some staggering stats: as of March 2011, users now create one billion tweets per week, or 140 million tweets per day. The company’s search index simply cannot keep up with that activity, which is something Twitter has been working to improve for over a year. In other words, our tweets are all still there; you just can’t search much farther back than a few days until Twitter improves its search infrastructure.

Twitter recently announced that its search results will include user-posted images and videos as well as just text tweets. At press time, this feature was still rolling out—some users could see it and some couldn’t.

Other tools

Of course, when you talk about search, two of the biggest names—Google and Bing—can lend a hand when it comes to Twitter. Both companies made agreements with Twitter to index tweets from a broader date range, but results can be hit and miss. The way you search Twitter also differs slightly between each service.

Google To search Twitter on Google, go to google.com/realtime. This is Google’s custom tool for searching social networks like Twitter, Facebook, FriendFeed, and more. Here you can enter any combination of keywords, hashtags, and usernames, and take advantage of other perks like the “nearby” option (to look for tweets made by people close to your location) or Google’s timeline that lets you specify a period of time other than “right now.” Alternatively, you can run a typical Google search and click the Realtime filter in the sidebar.

via How and why to search Twitter | Business Center | Working Mac | Macworld.

12 Useful Tips That Can Improve Your Ability to Google

We all love Google to help us find all things we are looking for. But the results we get aren’t necessarily the right ones. Here are 12 tips to make your Google searching more relevant and productive.

Web search is something that most of us take for granted. It’s a split second operation that offers up page after page of results for what seems like an infinite number of topics. For any particular query, if we don’t immediately see a result that catches our eye, our ability to reformulate and execute a new search takes but a moment.

With Google, we assume that the items listed on the first page of results — or first few pages for that matter — are the most relevant for the search query we entered and why shouldn’t we, with such a complex algorithm and thousands of intelligent people working to solve a single problem, this market leader has set the standard when it comes to connecting people with information.

On occasion however, we find ourselves conducting search after search and end up spending more time than expected trying to find a document that best matches our original query. In such cases we often accept the results we’re given and conclude that an appropriate resource to what we’re looking for must not exist or cannot be found online. While the search results are typically good enough to get us what we need, there is always some room for improvement when it comes to filtering and refinement.

via 12 Useful Tips That Can Improve Your Ability to Google.

Alternative search engine Blekko launches – CNN.com

Blekko’s alternative search engine — a $24 million venture-backed project that’s been three years in the making — is today launching its public beta.

With the official rollout, Blekko is also releasing several new features designed for both mainstream and the site’s super users.

As you may recall, Blekko is designed to eliminate spam search results, allowing users to search just a subset of the web through its proprietary slashtag technology.

The most significant upgrade to Blekko’s search engine is the addition of slashtags that auto-fire for queries that fall into one seven categories: health, colleges, autos, personal finance, lyrics, recipes and hotels.

Every time a Blekko user’s query is determined to be in one of these categories, Blekko will automatically append the associated slashtag to the query and limit results to just the subset of URLs that fall under that slashtag.

The auto-fire functionality is designed with passive searchers in mind, and aims to eliminate friction for first time users. The technology that powers these auto-slashtags was developed through an extensive research and development phase that involved analyzing the relationship between queries and the type of spam results they typically generate.

via Alternative search engine Blekko launches – CNN.com.

Combing Your Friends’ Tastes, Not the Whole Web’s – NYTimes.com

After a decade when search engines ruled supreme — tapping billions of Web pages to answer every conceivable query — many people now prefer getting their online information the old-fashioned way: by yakking across the fence.

Turning to friends is the new rage in the Web world, extending far beyond established social networking sites and setting off a rush among Web companies looking for ways to help people capitalize on the wisdom of their social circles — and to make some money in the process.

“What your friends think and what people like you think is much more relevant than what everybody thinks,” said Augie Ray, an analyst with Forrester Research.

Amazon.com now allows its shoppers to connect to their Facebook accounts so that Amazon can display their friends’ favorite books, films and other products. TunerFish, a start-up owned by Comcast, lets users share what television shows and movies they are watching, mapping out an up-to-the-minute TV guide of programs gaining in popularity among their friends.

And Loopt, a location-focused social network with 3.4 million registered users, recently began showing them which of their friends liked a particular restaurant.

via Combing Your Friends’ Tastes, Not the Whole Web’s – NYTimes.com.

Google Instant Provides Predictive Search – Search Engines from eWeek

Google Sept. 8 introduced a faster way of searching the Web with Google Instant, which surfaces search results as users type their queries.

Google Instant, which the company hinted at through a Sept. 7 Google Doodle made of bouncing balls, is a predictive search technology.

Where Google Suggest provides search suggestions when users type queries in the search box, Instant extends this capability by guessing users’ queries as they begin to type them.

At a news event held to announce the technology at the Museum of Modern Art in San Francisco, Marissa Mayer, vice president of search products and user experience for Google, said Google Instant was designed to accelerate the search process for users.

Users tend to spend 9 seconds on average entering a search query into Google, Mayer said. After they hit the search button, the query spends an average of 300 milliseconds traversing Google’s servers before results hurtle back to the users, who spend an average of 15 seconds picking a selection from the results.

That’s almost half a minute from time of entry to result selection. Google Instant is an effort to shave time off the task by predicting what users are looking for as they type, bypassing the search button.

via Google Instant Provides Predictive Search – Search Engines from eWeek.

How the Miracle of E-Mail Works | Law Technology News

What you see when you open a message in Outlook or Gmail isn’t just a snapshot of what someone sent to you. It’s a report. It’s generated by an invisible query and built of select fields of information culled from a complex dataset, then presented to you in an arrangement determined by your e-mail client’s capabilities and user settings.

Dude, your e-mails are a database, and so are mine … and his … and hers. Epic.

And for most corporate e-mail users, their messages and attachments implicate at least two databases: the big one housed on a server and storing e-mail records for many users, and smaller, local counterparts residing on employees’ desktop computers, laptops, cell phones, iPads and other e-mail client devices.

E-MAIL DATA AND METADATA

E-mail databases do more than simply store and transmit messages and attachments; they add information, too.

When a user opens a message, his or her e-mail client changes the message’s appearance to indicate it’s been read. When the user flags a message for follow-up, moves messages to folders or deletes certain items, the e-mail client records these changes as data about data, i.e., metadata.

This metadata, and pieces of information transmitted within the messages, are fields in a database that collectively comprise records users query to display what they see onscreen as e-mail messages.

Users rarely see all of the metadata that an e-mail server or local client stores about messages. Instead, they’re given a nicely formatted presentation of just the data and metadata their e-mail client software is configured to display. That is, they see the fields in the default “report” that the message database writes to the screen. But, it’s easy to see more — much more.

via Law.com – How the Miracle of E-Mail Works.

A recent improvement for Arabic searches | Official Google Blog

We've learned that when performing a search on Google, people sometimes forget to separate words with spaces. Moreover, people often mistakenly repeat a letter within a single word. For instance, when writing the query [amazingly beautiful poem], you might write it as [amazingly beautiifullpoem].

These types of errors are much more common in languages like Arabic, where most of the letters are cursive. That means that the shapes of the letters change, based on the position of the letter in the word (initial, middle, final or isolated). Moreover, some Arabic letters are considered word breaks, meaning that the following letter must be in an “initial” shape. In other words, if the last letter of one word is a word break, the following word may not be separated with a space.

For example, the queries [وزارةالتعليم] and [وزارة التعليم] have an identical meaning (Ministry of Education) and they’re both written in a common form for Arabic documents. But they have different, albeit correct, formats — the first query is written as a single word, while the second is written as two. Google needs to understand that while they’re written differently, they mean the same thing and should yield the exact same search results. In this example, both queries were written correctly, just in different formats. But sometimes people just make errors — like repeating the same letter twice. For example, you might write [راائعة الجماال], repeating the letter “ا” twice in both query words. In this case the correct spelling should be [رائعة الجمال]. It's important that Google search recognizes your query — despite spelling errors.

To address issues like this, we recently developed a search ranking improvement that targets certain Arabic queries. Our algorithm employs rules of Arabic spelling and grammar along with signals from historical search data to decide when to leave out spaces between words or when to remove unnecessarily repeated letters. Now, when you type a query leaving out spaces or repeating a letter, we’ll return better results based not only on what you typed, but also on what our algorithm understands is the “correct” query. For example, here's what happens when you type [قصيدة راائعةالجماال] ([amazingly beautiful poem] in Arabic) with repeated letters and dropped spaces between words.

via Official Google Blog: A recent improvement for Arabic searches.