A Product Feature-based User-Centric Ranking Model for E-Commerce Search

Abstract : During the online shopping process, users search for interesting products in order to quickly access those that fit with their needs among a long tail of similar or closely related products. Our contribution addresses head queries that are frequently submitted on e-commerce Web sites. Head queries usually target featured products with several variations , accessories, and complementary products. We present in this paper a product feature-based user-centric model for product search involving, in addition to product characteristics, the user engagement toward the product. This model has been evaluated through the product search track of the LL4IR lab at CLEF 2015 in order to highlight the effectiveness of our model as well as the impact of the user engagement factor.
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Communication dans un congrès
7th Conference and Labs of the Evaluation Forum (CLEF 2016): "Information Access Evaluation meets Multilinguality, Multimodality and Interaction", Sep 2016, Evora, Portugal. Conference on Multilingual and Multimodal Information Access Evaluation (CLEF 2016), 〈http://clef2016.clef-initiative.eu/〉
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https://hal.sorbonne-universite.fr/hal-01349111
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Soumis le : vendredi 29 juillet 2016 - 13:29:19
Dernière modification le : jeudi 22 novembre 2018 - 14:28:16

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  • HAL Id : hal-01349111, version 1

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Lamjed Ben Jabeur, Laure Soulier, Lynda Tamine, Paul Mousset. A Product Feature-based User-Centric Ranking Model for E-Commerce Search. 7th Conference and Labs of the Evaluation Forum (CLEF 2016): "Information Access Evaluation meets Multilinguality, Multimodality and Interaction", Sep 2016, Evora, Portugal. Conference on Multilingual and Multimodal Information Access Evaluation (CLEF 2016), 〈http://clef2016.clef-initiative.eu/〉. 〈hal-01349111〉

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