HeyStaks' collaborative search analytics platform exposes
rich profiles of user preferences from search data.
By analyzing the search and browsing activities of users, HeyStaks algorithms identify communities of like-minded people.
HeyStaks processes context signals, like time and location, to add context to these communities. Experts with high reputation on search and browsing topics are also identified. The result is a search profile that reflects the actual intent of users.
Dr. Maurice Coyle explores opportunities to monetize search data.
A case study
An examination of how collaboration and social signals can enhance mobile search.
The key to successful advertising is accurate, timely targetting. By understanding their intent, HeyStaks makes the advertisements that a user sees more relevant. Users are more likely to engage with these ads, which increases the value for advertisers.
HeyStaks enhances search for eCommerce stores by delivering personalized, relevant listings. The product that the current shopper is most likely to buy appears at the top of the list. This increases conversions and results in a better overall experience.
The Web Summit 2014 is fast approaching, and it will be even bigger than ever before. Taking place over three days (November 4-6 2014) in Dublin’s RDS, it will see hundreds of luminaries from the world of technology take to the stage in front of 20,000 attendees. Last year we created our own (and wildly successful) HeyStaks…