Personalizing Local Search with Twitter
Lu Guo, Matthew Lease · 2011
Weproposeanewrankingmodelforpersonalizedlocalsearch. While local search verticals such as Google Local and Yahoo! Local incorporate physical proximity and public sentiment (reviews and ratings), their rankings reflect minimal personalization. We personalizelocal search by integratingTwitter social network structure and content analysis. Specifically, weinfersentimentfortweetsbytheuserandthosehefollows which mention local businesses by name. We also provide a Google Android tailored interface and interaction experience for local search with Twitter integration. Evaluation of search accuracy and quality of user experience via a 25 person user study shows both improved search accuracy and anecdotal evidence of greater user satisfaction.