Profile Diversity in Search and Recommendation

Maximilien Servajean 1, 2 Esther Pacitti 1, 2 Sihem Amer-Yahia 3 Pascal Neveu 4
1 IBC - Institut de Biologie Computationnelle
2 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
3 LIG Laboratoire d'Informatique de Grenoble - HADAS
LIG - Laboratoire d'Informatique de Grenoble
4 MISTEA - Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie
Abstract : We investigate profile diversity, a novel idea in searching scientific documents. Combining keyword relevance with popularity in a scoring function has been the subject of different forms of social relevance. Content diversity has been thoroughly studied in search and advertising, database queries, and recommendations. We believe our work is the first to investigate profile diversity to address the problem of returning highly popular but too-focused documents. We show how to adapt Fagin's threshold-based algorithms to return the most relevant and most popular documents that satisfy content and profile diversities and run preliminary experiments on two benchmarks to validate our scoring function.
Keywords : top-k diversity Recommendation
Type de document :
Communication dans un congrès
Ido Guy; Michelle X. Zhou; Li Chen. SRS: Social Recommender Systems (in conjunction WWW 2013), May 2013, Rio de Janeiro, Brazil. IW3C2, International World Wide Web Conference Committee (IW3C2) - SRS 2013: 4th International Workshop on Social Recommender Systems (in conjunction WWW 2013 Companion, ACM 978-1-4503-2038-2/13/05., pp.973-980, 2013, 〈www2013.org/program/4th-international-conference-on-social-recommender-systems/〉
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Contributeur : Maximilien Servajean <>
Soumis le : lundi 3 juin 2013 - 09:46:05
Dernière modification le : jeudi 24 mai 2018 - 15:59:21
Document(s) archivé(s) le : mercredi 4 septembre 2013 - 02:25:09

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Maximilien Servajean, Esther Pacitti, Sihem Amer-Yahia, Pascal Neveu. Profile Diversity in Search and Recommendation. Ido Guy; Michelle X. Zhou; Li Chen. SRS: Social Recommender Systems (in conjunction WWW 2013), May 2013, Rio de Janeiro, Brazil. IW3C2, International World Wide Web Conference Committee (IW3C2) - SRS 2013: 4th International Workshop on Social Recommender Systems (in conjunction WWW 2013 Companion, ACM 978-1-4503-2038-2/13/05., pp.973-980, 2013, 〈www2013.org/program/4th-international-conference-on-social-recommender-systems/〉. 〈lirmm-00806676〉

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