Comments on: The Mobile Search Opportunity, Turning PageRank into PlaceRank http://www.locationawhere.com/15/10/2008/commentary/mobile-search-opportunity-turning Location Matters Mon, 26 Jul 2010 00:01:56 +0000 hourly 1 http://wordpress.org/?v=3.0 By: Eric http://www.locationawhere.com/15/10/2008/commentary/mobile-search-opportunity-turning/comment-page-1#comment-27 Eric Thu, 16 Oct 2008 00:51:00 +0000 http://www.locationawhere.com/?p=88#comment-27 Thought-provoking post - I like how you illustrate the point of location awareness for both the "consumer" or "searcher" of information and of the source-data (such as the train, or people going to a bar after the game). My company, BooRah, is looking at this in a similar way -- ultimately, there needs to be aggregation of the location-specific source-data in a format that's convenient for the location-specific users. <br/><br/>First, you can aggregate user-generated content about local places (in our case, restaurants and other local businesses that people frequent), with location and time-specific attributes (ie, a review about a place written on a certain date). The aggregation of the overall social "buzz" of the place helps to determine it's popularity - not instantaneously, but over time. Then, you add geo-aware user search functionality, to produce the most relevant results for the user (see blog.boorah.com for some of our recent announcements along these lines). Lastly, you add "instantaneous" source-data information to the aggregation index, such as twitter tweets from people currently at these local places, that include opinions (ie, that it's actually a good place to be!) or reputations in addition to fact-based location information. Thought-provoking post – I like how you illustrate the point of location awareness for both the “consumer” or “searcher” of information and of the source-data (such as the train, or people going to a bar after the game). My company, BooRah, is looking at this in a similar way — ultimately, there needs to be aggregation of the location-specific source-data in a format that’s convenient for the location-specific users.

First, you can aggregate user-generated content about local places (in our case, restaurants and other local businesses that people frequent), with location and time-specific attributes (ie, a review about a place written on a certain date). The aggregation of the overall social “buzz” of the place helps to determine it’s popularity – not instantaneously, but over time. Then, you add geo-aware user search functionality, to produce the most relevant results for the user (see blog.boorah.com for some of our recent announcements along these lines). Lastly, you add “instantaneous” source-data information to the aggregation index, such as twitter tweets from people currently at these local places, that include opinions (ie, that it’s actually a good place to be!) or reputations in addition to fact-based location information.

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