By Jennifer Lilonsky (staff@latinospost.com) | First Posted: Apr 13, 2013 01:57 PM EDT

Microsoft web search engine Bing announced that they are teaming up with social networking site Pinterest in an effort to enhance image-sharing and searching functionality.

In a blog post on Bing's site, Program Manager Chen Fang explains that the company decided to team up with the pinboard-style website to ultimately make image-sharing more convenient.

"Last fall, we hosted a group of lifestyle and design bloggers at the Bing headquarters to better understand their search and social media habits. What we discovered is a community that does more than its fair share of image searches, with much of it tied to Pinterest," Fang posted on the Bing blog.

"They shared some of the hassles they face, and that finding efficient ways to hunt down original, high-resolution images and filtering image results were some of their pain points."

And that is why the Microsoft-created search engine is introducing the "Pin to Pinterest" feature on their image search platform.

The new function allows users to directly pin images from the Bing site and add them to a specific Pinterest board.

"Whether you're gathering inspiration for a home decorating project, a Memorial Day BBQ, or a summer vacation, it's never been easier to find more pictures and keep track of the ones you love most," Fang writes about the new feature.

"See something that catches your eye? Just one click and it's saves to your Pinterest board."

So how does the new feature work?

It's actually quite simple and does not require the user to install a bookmarklet in their web browser of choice.

All it takes is one click and linking to original content becomes even easier as the new function automatically cites where the original image came from.

And it is not only image-sharing that gets a boost from the "Pin to Pinterest" function, searching images also becomes more convenient with the new feature.

Now users can sort and filter images based on size, color, layout and other specifications.

And even more, users can search within a specific website for images.

SEE HOW IT'S DONE HERE

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