A generic semantic-based framework for cross-domain recommendation

I Fernandez-Tobias; I Cantador; M Kaminskas; Francesco Ricci

doi:10.1145/2039320.2039324

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A generic semantic-based framework for cross-domain recommendation

Conference proceeding

Peer reviewed

A generic semantic-based framework for cross-domain recommendation

I Fernandez-Tobias, I Cantador, M Kaminskas and Francesco Ricci

Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, pp.25-32

2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems (Chicago, 23/10/2011 - 27/10/2011)

2011

DOI: https://doi.org/10.1145/2039320.2039324

Handle:

https://hdl.handle.net/10863/33789

Abstract

H33 [Information Storage and Retrieval]: Information Search

and Retrieval – information filtering, retrieval models I24

[Artificial Intelligence] Knowledge Representation Formalisms

and Methods – semantic networks

General Terms

Algorithms, Design, Human Factors

Keywords

Recommender systems, cross-domain recommendation, knowledge

extraction, semantic networks, Linked Data, DBpedia

In this paper, we present an ongoing research work on the design and development of a generic knowledge-based description framework built upon semantic networks. It aims at integrating and exploiting knowledge on several domains to provide cross-domain item recommendations. More specifically, we propose an approach that automatically extracts information about two different domains, such as architecture and music, which are available in Linked Data repositories. This enables to link concepts in the two domains by means of a weighted directed acyclic graph, and to perform weight spreading on such graph to identify items in the target domain (music artists) that are related to items of the source domain (places of interest).

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url

https://dx.doi.org/10.1145/2039320.2039324View

Details

Title: A generic semantic-based framework for cross-domain recommendation
Creators: I Fernandez-Tobias - Autonomous University of Madrid
I Cantador - Autonomous University of Madrid
M Kaminskas - Free University of Bozen-Bolzano
Francesco Ricci - Free University of Bozen-Bolzano
Publication Details: Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, pp.25-32
Editor(s): Cantador I
ISBN: 9781450310277
Conference: 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems (Chicago, 23/10/2011 - 27/10/2011)
Publisher: ACM
New York, NY
Number of pages: 8
Identifiers: 978-1-4503-1027-7
(UNIBZ)5492
991006493483801241
Scopus ID: 2-s2.0-81455132504
Academic Unit: Faculty of Computer Science
Language: English
Resource Type: Conference proceeding
Author Names String: Fernandez-Tobias I, Cantador I, Kaminskas M, Ricci F
Additional Description: Editors/Supervisors: Cantador I

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