Gabriel Stricker, Google’s Director of Search Communications kicks things off by noting that the company will be sharing a number of new developments that cater to the growing demands of its users. With that, Udi Manber takes the stage to offer a big-picture overview of search.

Manber says what Google does is the new “rocket science.” Search has to be fast, relevant, and fresh, he explains. But even that’s not enough. The real goal is to solve users’ problems. If users can’t spell, it’s our problem. If the content is there but in a language the user doesn’t speak, that’s our problem. If the Web is too slow, it’s our problem. Manber offers a few examples of how Google works to address these challenges: real-time data, translation, etc. With these services nailed down, he says, Google can move on to the more important task of working on “understanding.”

Manber invites Pat Riley, senior search quality engineer, to the stage to talk a bit about Google’s “did you mean” link. Lots of people use the link, Riley says, and Google has been working to improve it. Called “spellmillion,” the project provides not only related results for a misspelled query but for alternate ones as well (think labor as in “work” and labor as in “pregnancy”). But it requires Google to process multiple searches for a single query and demands a lot of processing power.

Riley notes that the project has been somewhat contentious because it also potentially questions user intent. He offers the example of “Macy Ray.” Some users might be searching for “Macy Gray,” the singer, others for a person actually named “Macy Ray.” How do you address those two potential queries on a single search results page?

Riley is followed by Engineering Director Scott Huffman, whose subject is mobile search. Huffman starts things off with a few truisms. Mobile search is often local. It should be easy to use. Effortless. And it should provide all that Google has to offer. Huffman notes that this is quite a task since Google must optimize its search for different mobile experiences and different user interfaces: Google’s own Android, Apple’s (AAPL) iPhone, etc. Some of these platforms require gestures–touch, swipe–others use a keypad. All must provide access to the Web and the mobile Web–sites that have been optimized for mobile devices. On the screen behind him, Huffman displays an example of Google search that displays desktop Web results and mobile Web results, the latter denoted by a red square.

Mobile search must also be easy. Huffman demos a shared desktop-mobile search for a flight number. Since he’s logged into his Google account, his search for “ba 284? SF-London on the desktop is immediately shared with the Google app on his mobile device. An unreleased feature, but it’s on its way. A quick look at local listings automatically delivered to devices on the basis on GPS/cell tower location, and then Huffman brings Mayer on stage.

Mayer talks a bit about universal search before moving on to Google’s “bento box” of search results. She talks about Google’s focus on the importance of presentation and its efforts to make search results more usable for the user. An example of this SearchWiki, a tool that allows users to annotate their searches, to “keep their train of thought,” says Mayer. We need to help our users find more and do more with it, she says, noting that the company is still working to address some longstanding user problems:

• Finding recent information
• Expressing that you want just one type of result
• Assessing which results are best
• Knowing what you’re looking for
• Expressing your searches in keywords

Mayer introduces Google Search Options, a feature that appends a search option panel to results, allowing users to “slice and dice” the results as they choose. A demo of the feature, in a search for “Hubble Telescope,” allows for search calibration by time, pages that include images, etc. Another search for “solar oven” is filtered down to specific genres–videos, discussion forums, reviews. Click on those links and that new search context is immediately displayed on the page.

Interestingly, the reviews feature uses something called “sentiment analysis” to extract sentiments from a review and present them in displayed snippets.

Search Options also includes a timeline feature that allows users to visualize results over time. And there’s something called “Wonder Wheel,” which presents a visual representation of a query surrounded by potential refinements (hence “Wonder Wheel”). Click on a refinement and results update automatically. Search Options should be going live now, says Mayer.

A bit of geometry monomania here today at Google Searchology. First the Wonder Wheel and now “Google Squared,” a sort of spreadsheet visualization of search being cooked up in Google Labs. Unstructured data pulled directly from search and organized according to the whim of the user. A search for “small dogs” pulls up a lists of–wonder of wonders–small dogs organized by size, weight, breed, etc. Click on an individual cell and you can change its source. Pretty slick. Still a work in progress, though. It should be available later this month, Mayer says during the Q&A.

Another new feature: Rich Snippets. A search for “drooling dog BBQ” returns your standard Google results along with a list of metadata–average user reviews, for example. A search for a GPS system includes an additional pointer to a recent CNET review of the unit in question. Rich Snippets is open API, incidentally.

Last up, an Android star map app that uses GPS to create a star map “local to your place on earth” and to your position. Move the phone and the map adjusts to your view–essentially the app transforms the device into map overlay for the sky. And how does this tie into search? Search for “Gemini” and a sort of pointer appears onscreen directing you to its location in the sky. And with that, Mayer wraps things up.

The search engine–a distant second to Google (GOOG) in usage–is hoping so. Yahoo (YHOO) announced plans Wednesday to start testing a new research tool that tries to detect when someone is doing a research-related search and offers to save Web pages and notes in a separate document for future recall.

The service, Search Pad, is similar to Google’s new SearchWiki, which allows users to promote and take notes on search results they find useful and view them later.

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This week I tested two free tools that attempt to make your Web searches more relevant by learning from users’ reactions to search results: Google’s SearchWiki and Surf Canyon Inc.’s namesake tool for Web browsers. These two don’t necessarily compete against each other; in fact, they can be used in tandem. But after initially entering a search query, SearchWiki requires additional work on the part of the user that many people may not want to do. Surf Canyon works automatically as you go, sorting results according to real-time user behavior.

SearchWiki depends on people to rank their own search results by promoting favored URLs to the top of a screen and knocking others to the bottom. It is available to most people who are logged into a Google account, and these user preferences are remembered if the same searches are performed at other times.

This sorting is done using elegant animation; preferred URLs float to the top of the screen when selected and unwanted results disappear in a magic-trick-like poof when removed. Comments about a link can be typed into a word bubble beside the URL and all comments are available to the public, labeled as posted by “Searcher” unless you create another nickname for yourself. People can also add preferred URLs to a search-results page if, for example, they know a better link about something than those that show up.

Google’s SearchWiki

But who wants to do all this work? Google (GOOG) says your votes don’t influence the way other Google users see search results, nor do they affect your search results if you aren’t logged into Google. You can see the number of votes a URL got from fellow voters, as well as comments made about the URL — but only after you select a link at the bottom of the search-results page. If you promote a URL, you’ll automatically see what other people think about this link.

For your efforts, you’ll create a small collection of results that are saved in your account, sorted by date and time should you ever want to revisit them. This could come in handy in some circumstances, such as if you were researching a topic and you forgot to save Web pages as you went. Google confusingly calls these “SearchWiki notes,” though they really include all of the links you voted on, as well as typed-in notes about links.

SearchWiki is a tough sell because most of us are already trained to surf the Web quickly, skipping ahead and back through links without taking the time to rank those results or comment on them. And it only works with Google searches.

If you like the idea of more personalized Web searches but would like to use other search engines or don’t want to do extra work, you might like Surf Canyon. Once downloaded, this tool displays bull’s-eyes beside certain results to show that Surf Canyon has found additional related hits. Clicking on this bull’s-eye reveals those suggested links, pulled from deeper down in the search results, and these links might have bull’s-eyes of their own. This cascade of data goes on and on as an algorithm studies which of the returned results you do or don’t choose.

You might be deterred from using Surf Canyon because it must be downloaded before it works on Internet Explorer or Firefox. (A version of Surf Canyon for Apple’s (AAPL) Safari browser is due out within a month.) This tool works with Google, Yahoo (YHOO), Microsoft Live Search (MSFT) and Craigslist, and just started working with LexisNexis’s LexisWeb.com legal-search engine.

Surf Canyon might not seem to be doing much at first, but it changes and reflects your preferences as you make them. For example, a search for “Obama dog” originally returned results about how the President-elect and his family are narrowing their search for a puppy. But as I opened more links related specifically to Mr. Obama’s daughters, more results appeared on screen about Sasha and Malia. Each time I hit the browser’s Back button to return to the original search page, Surf Canyon offered a new set of relevant URLs.

I tried looking at Craigslist.com for last-minute inauguration tickets, and one hit listed an inauguration-appropriate dress that someone was giving away free. The Surf Canyon bull’s-eye appeared beside this result, and when I selected it, three more dress listings appeared.

Surf Canyon recently released an option for users who want long-term personalization, found at my.surfcanyon.com. It lets people select sources from which they prefer to receive news, shopping, research, or sports and entertainment results. Individual sites not listed on this page can also be added to a list of sources to use; likewise, sites can be added to a blacklist so results never come from them.

Unlike Google, Surf Canyon doesn’t save your history or usage profile. And if you haven’t created personalized preferences using the link above, it responds solely using your as-they-happen signals, like when you choose one link over another.

Google’s SearchWiki is asking users to do extra work, which may not be practical for many users. But if you do use it, this tool’s personalized, saved results could be a real boon. Surf Canyon worked well for me with multiple search engines, retrieving data from result pages I likely wouldn’t have opened. Either way, your days of futile Web searching are numbered.

Edited By Walter S. Mossberg

• Email us at mossbergsolution@wsj.com. Find this and other columns and videos online free at the All Things Digital Web site: http://walt.allthingsd.com

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