Now you can see the ratings without having to click on the search results, which is useful if you browse the web using a mobile phone or you want to check the ratings for a lot of movies.
"Google tries to present users with the most useful and informative search results. The more information a search result snippet can provide, the easier it is for users to decide whether that page is relevant to their search. With rich snippets, webmasters with sites containing structured content—for example, review sites or business listings—can label their content to make it clear that each labeled piece of text represents a certain type of data: for example, a restaurant name, an address, or a rating," explains Google.
To quickly see the IMDb ratings for a list of movies, you can start with an empty Google Square, add the column "IMDb rating" and start entering movie titles.
I've been wondering for a long time, how Google parses these info from sites like imdb.com? They also show number posts in a forum thread for a number of forums. Do Google have access to machine readable data from these sites or they just scrape pages?
ReplyDeleteJust from scrapes of data from the sites. Its always a pain when the site in question changes design and the info is presented differently.
ReplyDeleteGoogle usually extracts information from web pages automatically. That's how it obtains information like the number of posts in a forum thread, the authors of an academic paper (Google Scholar), table of contents for a book (Google Book Search). You'll find many errors, but at least it's a consistent approach and webmasters don't have to submit structured data.
ReplyDeleteRecently, Google started to experiment with more reliable ways to obtain structured data from web pages: rich snippets (reviews, people profiles) that take advantage of microformats, RDFa, HTML5 microdata, specialized sitemaps for videos, products, geo content.
IMDb doesn't use microformats or other formats for structuring data, so it's likely that Google extracts the information automatically.
Here's an example of extraction error in Google Scholar. Google says that the authors of the first paper are: "IS Workflow, P Access, WHW ERM, W Innovative", but that's a mistake. The title of the paper is "Improving Staff Workflow and Patron Access" and Google's algorithm decided that Improving Staff Workflow (IS Workflow) and Patron Access (P Access) are actually two authors.
ReplyDeleteGreat finding Alex. Thanks for the info.
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