Location-based personalized mobile search

Location based service (LBS) is widely used with the development of mobile network, and location-based mobile search has become a research hotspot of LBS. However, traditional location-based mobile search technology could only provide the homogeneous results to different users, rather than characteristic results depending on different personal preferences. This paper introduces a collaborative filtering recommendation algorithm-using slop one algorithm for location-based mobile search. Through using an improved slope one algorithm, we can get the results that are closer to users' preferences. As an example, we show a personalized restaurant search application on smart phone.