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Quelques pas vers l’Honnêteté et l’Explicabilité de moteurs de recherche sur le Web

Abstract : The transparency of algorithms is a concern for users and authorities. Among the various aspects of this notion of transparency, is it possible to study the extent to which search engines on the web are honest with respect to their declared personalization policy, and to what extent is it possible to explain their behavior, if only succinctly? We describe here an experimental framework and the results obtained on the study of the transparency of the leading web search engine. The idea is to track the changes of results, in a way to evaluate their honesty and explicability. We formalize the protocol and the measures used. We find that, for several users and carefully choosen queries, they are large variations in the results. We quantify them and rank the importance of the parameters studied. We show that this information may be used to enhance the transparency of search engines. MOTS-CLÉS : Transparence, Honnêteté, mesure d'évaluation
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Contributor : Philippe Mulhem <>
Submitted on : Wednesday, November 27, 2019 - 11:01:57 AM
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Philippe Mulhem, Lydie Du Bousquet, Sara Lakah. Quelques pas vers l’Honnêteté et l’Explicabilité de moteurs de recherche sur le Web. COnférence en Recherche d’Information et Applications, Mar 2019, Villeurbanne, France. ⟨10.3166/DN.1.-.1-18⟩. ⟨hal-02061553⟩



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