Mobile Price Comparison Application using Localisation Techniques Alexiei Dingli Dylan Seychell

First Page		Document Content
Date: 2016-03-15 09:55:13 E-commerce Economy User interface techniques Geolocation Wireless Recommender system Online shopping Comparison shopping website Mobile app Technology Location-based service Mobile commerce		Mobile Price Comparison Application using Localisation Techniques Alexiei Dingli Dylan Seychell Add to Reading List Source URL: www.websci11.org Download Document from Source Website File Size: 172,53 KB Share Document on Facebook

	Yum-Me: A Personalized Nutrient-Based Meal Recommender System LONGQI YANG, Cornell Tech, Cornell University CHENG-KANG HSIEH, University of California, Los Angeles HONGJIAN YANG and JOHN P. POLLAK, Cornell Tech, Cornell DocID: 1xVQo - View Document
	Yum-Me: A Personalized Nutrient-Based Meal Recommender System LONGQI YANG, Cornell Tech, Cornell University CHENG-KANG HSIEH, University of California, Los Angeles HONGJIAN YANG and JOHN P. POLLAK, Cornell Tech, Cornell DocID: 1tE3G - View Document
	Privacy Assessment of Data Flow Graphs for an Advanced Recommender System in the Smart Grid Fabian Knirsch1 , Dominik Engel1 , Cristian Neureiter1 , Marc Frincu2 , and Viktor Prasanna2 1 DocID: 1sXaB - View Document
	A Novel Recommender System in IoT Remo Manuel Frey1, Runhua Xu1, and Alexander Ilic2 I. ABSTRACT In Internet of Things (IoT), selling smart physical objects together with a compatible mobile app becomes an upcoming DocID: 1sIQs - View Document
	RiVal – A Toolkit to Foster Reproducibility in Recommender System Evaluation Alan Said Alejandro Bellogín DocID: 1sgiJ - View Document