An Effective and Accessible Location Aware Recommender System

Location aware recommender system (LARS) usesthe location based rating to provide recommendations. Traditionally, many recommended systems are very poor inproviding proper spatial details to its users especially forproducts and items, but LARS has specialized feature ofaccuracy in predicting specific locations on basis of rating. Thistechnique exploits spatial rating destination closest to its users. LARS use three types of location or destination based ratingslike – non-specific spatial location rating for specificallylocated spatial items, specifically located specific spatial ratingfor non-specific spatial items and specifically located spatialrating for specifically located spatial item. With the help ofLars, user rating location as well as the item locations can beexploited. User location exploits by user partition processwhich in eases recommendations with online modelling as wellas offline modelling. Item locations are executed by usingtravel penalty procedure which favours recommendationswhich is closer to the user and user's location. Travel penaltyprocedure or a querying user executed on together or independently.