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Authors: Giuliano Armano and Eloisa Vargiu

Affiliation: University of Cagliari, Italy

Keyword(s): Contextual advertising, Recommender systems, Information Retrieval.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: From a general perspective, nothing prevents from viewing contextual advertising as a kind of Web recommendation, aimed at embedding into a Web page the most relevant textual ads available for it. In fact, the task of suggesting an advertising is a particular case of recommending an item (the advertising) to a user (the web page), and vice versa. We envision that bringing ideas from contextual advertising could help in building novel recommender systems with improved performance, and vice versa. To this end, in this paper, we propose a unifying view of contextual advertising and recommender systems. To this end, we suggest: (i) a way to build a recommender system inspired by a generic solution typically adopted to solve contextual advertising tasks and (ii) a way to realize a collaborative contextual advertising system a la mode of collaborative filtering.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Armano, G. and Vargiu, E. (2010). A UNIFYING VIEW OF CONTEXTUAL ADVERTISING AND RECOMMENDER SYSTEMS. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR; ISBN 978-989-8425-28-7; ISSN 2184-3228, SciTePress, pages 463-466. DOI: 10.5220/0003097204630466

@conference{kdir10,
author={Giuliano Armano. and Eloisa Vargiu.},
title={A UNIFYING VIEW OF CONTEXTUAL ADVERTISING AND RECOMMENDER SYSTEMS},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR},
year={2010},
pages={463-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003097204630466},
isbn={978-989-8425-28-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR
TI - A UNIFYING VIEW OF CONTEXTUAL ADVERTISING AND RECOMMENDER SYSTEMS
SN - 978-989-8425-28-7
IS - 2184-3228
AU - Armano, G.
AU - Vargiu, E.
PY - 2010
SP - 463
EP - 466
DO - 10.5220/0003097204630466
PB - SciTePress