Social Search: Deeper Facebook Integration Pushes Microsoft Past Google

Microsoft today announced a deeper integration of Facebook’s ‘like’ data with its Bing search engine. This data now powers a number of new features that don’t just make Bing’s social search competitive but actually better and more useful than Google’s current efforts in the social search arena.

While Google is able to pull in data from Twitter and a number of other services (including its own recently launched +1 and public Facebook fan pages), Microsoft is the only major search engine with access to Facebook’s firehose. Thanks to this, Bing now shows you whenever a friend has ‘liked’ a site that appears on your search results page and pushes these results to the top of the page, too.

bing facebook integration

Collective IQ

In addition to these highly personalized results, Bing now also takes aggregate ‘like’ data into account while ranking search results. Thanks to this, Bing will now surface recipes on cooking sites that were ‘liked’ by a certain number of other Facebook users or which books on Amazon are currently popular.

Besides these major additions, Bing also launched a number of other features, including the ability to build a “travel wish list” that also shows you which of your friends live or have lived in a given city and the ability to receive notifications of flight deals when you ‘like’ a Bing flight search result.

Like vs. +1 and the Twitter Firehose

With the millions of ‘like’ buttons on the Web today, there can be little doubt that having access to this data firehose allows Bing to present more relevant data to mainstream users than Google currently can with its Twitter integration (there are, after all, far more users on Facebook than on Twitter). Google simply doesn’t have access to this data, which is likely one of the reasons why it started its +1 initiative. With +1, though, Google is far behind Facebook. Indeed, +1 is still just a labs product and the company will only launch +1 buttons for third-party sites in the next few weeks.

Frederic Lardinois founded SiliconFilter in 2011. Before starting this site, he wrote about 1,500 articles for ReadWriteWeb. His areas of interest are consumer web and mobile apps, as well as Internet-connected devices like cars, smart sensors and toasters. You can reach him at [email protected]

1 COMMENT

  1. I am personally glad that Google does not push the pages my friends have liked to the top of a search result – they are after all my friends and not necessarily experts on the subject I am researching on google – and if my friends were experts I surely should be able to ask them directly rather than track their preferences through search engines. Relevance is far more important to search engine ranking than my friend’s like patterns and I would prefer the search companies to develop their algorithms to include more options to reflect the searchers personal priorities, case by case, rather than the current system where they serve up results based on previous search behaviour – or on this seemingly new industry standard giving importance to the behaviour of ones friends.

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