Personalization Issues for Science Museum Websites and E-learning

First Page		Document Content
Human–computer interaction Marketing Personalization World Wide Web Hypermedia Web mining Adaptation Adaptive hypermedia Collaborative filtering Information science Information retrieval Hypertext		Personalization Issues for Science Museum Websites and E-learning Add to Reading List Source URL: web.archive.org Download Document from Source Website File Size: 861,04 KB Share Document on Facebook

	Explainable Matrix Factorization for Collaborative Filtering Behnoush Abdollahi Olfa Nasraoui Knowledge Discovery & Web Mining Lab DocID: 1xV7l - View Document
	PIIK, A COLLABORATIVE NEWS FILTERING SYSTEM FOR AN ELEARNING COMMUNITY IN HIGHER EDUCATION Platteaux Hervé, Hoein Sergio, Monnard Jacques, Jimenez François and Collaud Gérald Centre NTE - University of Fribourg, Switz DocID: 1vs8g - View Document
	Predicting Protein-Protein Interactions with Collaborative Filtering Algorithms István Albert Collaborative Filtering (CF) has proven to be a valuable tool for predicting relevant items in many different domains from e- DocID: 1vfr6 - View Document
	Practical Linear Models for Large-Scale One-Class Collaborative Filtering Suvash Sedhain†‡ , Hung Bui∗ , Jaya Kawale ∗ , Nikos Vlassis∗ , Branislav Kveton∗ , Aditya Krishna Menon‡† , Trung Bui∗ , Scott DocID: 1v839 - View Document
	Meta-Learning as a Collaborative Filtering Problem Mustafa Misir, Mich`ele Sebag MetaSel@ECAI 2014, August 2014 DocID: 1uUlV - View Document