Location Based Recommendation for Mobile Users Using Language Model and Skyline Query
Location based personalized recommendation has been introduced for the purpose of providing a mobile user with interesting information by distinguishing they preference and location. In most cases, mobile user usually does not provide all attributes of their preference or query. In extreme case, especially when mobile user is moving, the user even does not provide any preference or query. Meanwhile, the recommendation system database also does not contain all attributes that can express what the user needs. In this paper, the authors design an effective location based recommendation system to provide the most possible interesting places to a user when they is moving, according to their implicit preference and physical moving location without the user’s providing they preference or query explicitly.