Nusna KhalidSabeehaX YangH SteckY LiuM JiangP CuiR LiuQ YangF WangW ZhuS YangX QianH FengG ZhaoT MeiG LindenB SmithJ YorkK RaoR BellY KorenC VolinskyG AdomaviciusA TuzhilinY ZhangB CaoD YeungX QianH FengG ZhaoT MeiM JamaliM EsterL LiuJ TangJ HanM JiangS YangH MaH YangM LyuI KingB SarwarG KarypisJ KonstanJ ReidlJ HuangX ChengJ GuoH ShenK YangH MaH YangM LyuI King
The large volume of information available on the web, the broad coverage of the web content, the phenomenal number of web users and their continued rapid growth has presented a major challenge to the web community. Identifying and accessing relevant information suited to individual needs is called personalized information retrieval and access. Based on user's requirements and preferences, the personalized recommendation systems are in need to provide proper recommendations . This paper proposes a product recommender system for intuitively supporting mobile users in decision making with respect to the location of both the user and product. Other recommendation techniques included in the project are: Personal interest based recommendation and Friend Circle based recommendation.
K. VeningstonR. Shanmugalakshmi