Google has added a filter for in-depth articles that makes it easier to explore them. These are articles on broad themes identified as higher quality.
Search Engine Land has a screen shot – Google Expands In-Depth Articles. (Dec 6)
Mostly, look for the articles at the bottom of the search results page, and, if you find them, use links for Explore and for +More in-depth articles. It’s hit and miss whether in-depth articles will show – none for information technology, but some for technology.
All Google Testing figured out a way to filter for the in-depth articles — run the search – and add “&ida_m=1″ to the end of the query url (no quotation marks). See the posting.
For example, search for Canada – you’ll see in-depth articles at the bottom of the page. But to get them immediately modify the url — https://www.google.com/search?espv=210&es_sm=122&q=canada&ida_m=1
Graham Hunter (June 9, 2013) noted in his post about The Future of Google Search that Google has been working on a redesign of its products – and that Google Now, Google Glass, and Google Maps all feature cards. The new display at Google+ is the likely direction.
It refers to a more detailed article by Matt Buchanan in the New Yorker – The Design Than Conquered Google. (May)
Danny Sullivan asks Google’s Broken Promises & Who’s Running The Search Engine?. Marketing Land (Nov 17)
Sullivan attempts to explain Google’s actions in having paid inclusion in its shopping engine, and accepting banner ads in search.
“The more complex answer is that things do change and require companies and products to adapt. Maybe it does make sense that Google shifted to a paid inclusion model for shopping search, despite its earlier stance against this. Maybe Page and Brin were naive to think that a bad search engine wouldn’t sell giant graphical units to brands for their own names, especially when brands themselves seem willing if not eager to buy.”
Sullivan does voice a warning to Google that it should be careful not to let the trust users have had erode. No wait – I think that erosion has begun.
This Huff Post article has a The “Cliffnotes” summary of what the major search engines – Google, Yahoo, Bing – collect about you and your searches. What to do about it – make sure you’re not logged into one of their services when you search.
Another idea though – use DuckDuckGo, or Ixquick, or Privatelee
What Your Search History Says About You (And How to Shut It Up, by Megan Carpentier, Huffington Post (Oct 31)
Eric Enge fills us in on what Danny Sullivan said in a Google Hangout about Google’s new Hummingbird search engine – it is more than an algorithm and maybe more than a platform. It has a spider to crawl, an index, and the search engine itself – Hummingbird.
As it says, hummingbird was a rewrite of the search engine. Part of this was to enable Google to better understand “entities” within the context of web search. Google has had this as part of Knowledge Graph type queries for a while. This is also the reason that Google has had some capabilities in dealing with natural language queries for the Knowledge Graph, but now with Hummingbird update, that ability to understand natural language queries has been extended to the rest of the search engine as well.
Bing maintains its strong connection with Twitter to support its social search.
Bing Renews Its Firehose Deal With Twitter, TechCrunch (Nov 1)
Unlike Google, Bing has made social search a cornerstone of its strategy. Its close relationship with Facebook has long given it the ability to highlight posts from the popular social network, as well as from Twitter, LinkedIn, Quora, Foursquare, Klout and other services in its social sidebar. With Bing’s latest redesign, which dropped the number of columns on its search results pages from three to two, the social sidebar now features even more prominently on the site.
One can always depend on Mary Ellen Bates to provide inventive ways to use search tools. This is true in her presentation at this year’s Internet Librarian – Super Searcher Secrets – available in this pdf.
Especially note how she used Google Trends, autocomplete, and reading level filter. She finds value in Google’s new in-depth results on broad topics. Blekko is still in her kit bag. For other specialty search tools she mentions Zanran – for combing through pages for data, and Millionshort.com – for long-tail research. Social search and networks are also to be mined.
You’ll be sure to pick up a few good tips for your work.
A search-results page at Google (SERP = search engine results page) can have a great variety of elements depending on where you are and what the query is. The infographic on this page puts them all on parade.
Infographic: An Anatomy Of Google’s Dynamic Search Results Page
, Search Engine Land (Oct 15)
Make my eyes weary to look at it all.
Deeper explanation than usual of Google’s question-answering capabilities with advice to webmasters on how to adapt to and exploit this new world.
Google Hummingbird: When Evolutionary Becomes Revolutionary By Barbara Starr, Search Engine Land (Oct 10)
Hummingbird and Google’s question answering system are not revolutionary in and of themselves. The components that comprise them are all evolutionary in nature and function in a synergistic, interoperable manner. Google is taking Question Answering technology (from the past) along with “big data” technology and simply making them work at scale — with phenomenal results. The overall picture is, in fact, revolutionary in nature.
A few days ago there was some fanfare about Google entering its 16th year of being search central. Google was very popular, very fast – I remember – I’ve been teaching Web search for longer than that. Josh Dreller at Search Engine Land has The Top 7 Milestones Of Google Search. Ho notes September 4, 1997 as the launch date. Google had indexed 25 million pages then and three years later had 1 billion. Interestingly, Dreller stops at 2009 noting Google Search Options as being milestone #7. Some of those search options have been removed since. I would have added ~ or fuzzy search operator as a milestone – whenever it was added – 2003 or so – because it was the beginning of handling word variants. And the move to entity search that we see in the Knowledge Graph certainly counts as a very big milestone.