<--- Back to Details
First PageDocument Content
Electronic commerce / Human–computer interaction / Business / Recommender system / Web services / Collaborative filtering / Online shopping / Personalization / GroupLens Research / Information science / Information retrieval / Marketing
Date: 2013-04-12 14:46:20
Electronic commerce
Human–computer interaction
Business
Recommender system
Web services
Collaborative filtering
Online shopping
Personalization
GroupLens Research
Information science
Information retrieval
Marketing

INDUSTRY TRENDS Recommendation Technology: Will it Boost E-Commerce?

Add to Reading List

Source URL: leavcom.com

Download Document from Source Website

File Size: 234,73 KB

Share Document on Facebook

Similar Documents

Distributed data storage / Computing / Concurrent computing / Distributed computing / File sharing networks / File sharing / Beta software / Cross-platform software / Freenet / Peer-to-peer / Gnutella / Trie

Freenet: A Distributed Anonymous Information Storage and Retrieval System Ian Clarke1 , Oskar Sandberg2 , Brandon Wiley3 , and Theodore W. Hong4? 1 4

DocID: 1xU1S - View Document

Translation Term Weighting and Combining Translation Resources in Cross-Language Retrieval  Aitao Chen, and Fredric Gey  School of Information Management and Systems

DocID: 1voyg - View Document

Proceedings on Privacy Enhancing Technologies ; ):184–201 Raphael R. Toledo, George Danezis, and Ian Goldberg Lower-Cost -Private Information Retrieval Abstract: Private Information Retrieval (PIR), despite be

DocID: 1vkX2 - View Document

Modeling Latent Topic Interactions using Quantum Interference for Information Retrieval Alessandro Sordoni Jing He

DocID: 1vklT - View Document

Information Retrieval Ein Überblick Ingo Frommholz Universität Duisburg-Essen

DocID: 1vhAi - View Document