LBS Manual Location Determinate o User input Technology o Bar code scanning Automatic o GPS o A-GPS LBS o Cell tower Location Based Service o WiFi o IP basedLocation LocationEnabling based o RFIDPlatform Applications Companies o GPS chips o Skyhook
LBS Location Determinate Technology • Google Map • Bing Map • Indoor maps • Google Place API • SimpleGeo.com LBS Location Based Service • Yahoo! Fire eagle • …Location LocationEnabling basedPlatform Applications
LBS Location Determinate Technology Foursquare Gowalla Whrrl Urbanspoon UrbanQ LBS Yelp Location Based Service Where.com Starbucks!Location LocationEnabling based Google LatitudePlatform Applications Google Places …
What we do LOCQL is a location based question and answer service that help people find answers on places.“I just moved to Seattle area for Microsoft, which neighborhood shall Ilive and which school should my kids go? ” “ I have a free weekend in Paris during my business trip, what are the top places I should visit in just 2 days? ”“I am visiting Shanghai next week and would wish talk to some localInternet entrepreneurs, who should I talk to ?”
Market 53% of mobile searches on Bing have a local intent.  20% of all searches on Google are related to location  Over 40% questions on vark.com (now a part of Google) related to location Over 45% question on Yahoo! Answer’s specific categories are related to locations 1 Billion answers has been collected in Yahoo! Answers since 2005. 
Competition Old school question and answer sites Our unique solutions Yahoo! Answers Answers.com All questions and answers are geo-tagged and geo-searchable Ask.com Automatically filtering questions New social question and answer sites and answers for users based on Quora.com the relevance to the places Vark.com (now a part of Google) Facebook questions Leverage Social Networks and LBS to help indentifying: None of our competitors build solution and algorithm to focus on Who are the best persons to the geo-location based search ask? Which answer shall I trust?
Roadmap Growing strategy Focus on the user experience and the differentiations Machine Data driven decision making: learning analytics/experiments on almost Mobile Apps algorithm kick in (2011 everything (2011 Summer) Winter) - Grow user base Public beta (2011 and data set - Improve the relevance and Introduce machine learning engine to Spring) response of improve the relevancy once our data - Social features search set is big enough. kick in - Grow user basePrivate beta(2010 Winter) and data set Growing from key areas one by one- Limited users (quick by not rush)for improvingUX Lower operation cost by design excellence
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