Autonomously revising knowledge-based recommendations through item and user information

Avi Rosenfeld, Aviad Levy, Asher Yoskovitz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Recommender systems are now an integral part of many e-commerce websites, providing people relevant products they should consider purchasing. To date, many types of recommender systems have been proposed, with major categories belonging to item-based, user-based (collaborative) or knowledge-based algorithms. In this paper, we present a hybrid system that combines a knowledge based (KB) recommendation approach with a learning component that constantly assesses and updates the system's recommendations based on a collaborative and item based components. This combination facilitated creating a commercial system that was originally deployed as a KB system with only limited user data, but grew into a progressively more accurate system by using accumulated user data to augment the KB weights through item based and collaborative elements. This paper details the algorithms used to create the hybrid recommender, and details its initial pilot in recommending alternative products in an online shopping environment.

Original languageEnglish
Title of host publicationAgent-Mediated Electronic Commerce - Designing Trading Strategies and Mechanisms for Electronic Markets, TADA 2011, Revised Selected Papers
PublisherSpringer Verlag
Pages57-70
Number of pages14
ISBN (Print)9783642348884
DOIs
StatePublished - 2013
Externally publishedYes
Event2nd International Workshop on Trading Agent Design and Analysis, TADA 2011, Co-located with the 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011 - Barcelona, Spain
Duration: 17 Jul 201117 Jul 2011

Publication series

NameLecture Notes in Business Information Processing
Volume119 LNBIP
ISSN (Print)1865-1348

Conference

Conference2nd International Workshop on Trading Agent Design and Analysis, TADA 2011, Co-located with the 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011
Country/TerritorySpain
CityBarcelona
Period17/07/1117/07/11

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