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Bing and Facebook Team Up to Offer Social Search Results (Sponsored)

— June 16, 2011 — Tech
This sponsored post is brought to you by BING SOCIAL SEARCH.

Bing & decide with your friends. 

Most of us ask family and friends for their advice before we decide what movie to see or new restaurant to try, because getting feedback from others is part of the decision-making process. Bing is a big believer in getting opinions from people you know, too. That’s why they’ve chosen to show what your Facebook friends like in your Bing search results. 

Here’s how it works: Say you go to Bing to look for a day spa or nightclub. The ones your Facebook friends like will show up with their names and photos next to the results. Wouldn’t it help to see that a dozen of your friends are fans of a place instead of wasting your time searching for a good spot, only to be disappointed in the end?


Thanks to social search on Bing, you don’t have to be.
Trend Themes
1. Social Search Results - Disruptive innovation opportunity: Explore ways to enhance search engine functionality by integrating social media data to provide personalized and trusted search results.
2. Peer Recommendations - Disruptive innovation opportunity: Develop platforms that leverage the power of peer recommendations to guide consumer decision-making in various industries.
3. Data Integration - Disruptive innovation opportunity: Create solutions that seamlessly integrate data from different sources to offer more comprehensive and relevant results for users.
Industry Implications
1. Search Engine - Disruptive innovation opportunity: Revolutionize the search engine industry by incorporating social media elements to better cater to user preferences and provide more informed results.
2. Hospitality - Disruptive innovation opportunity: Transform the hospitality industry by utilizing social search functionality to help customers discover and choose popular or recommended venues for various purposes.
3. E-commerce - Disruptive innovation opportunity: Disrupt the e-commerce industry by integrating social search features to assist customers in making informed purchasing decisions based on the recommendations and preferences of their social network connections.
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