Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Extending CLIP for Category-to-Image Retrieval in E-Commerce

Autor: Hendriksen, M., Bleeker, M., Vakulenko, S., van Noord, N., Kuiper, E., de Rijke, M., Hagen, M., Verberne, S., Macdonald, C., Seifert, C., Balog, K., Nørvåg, K., Setty, V.

Publikováno v: Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings, I, 289-303
Lecture Notes in Computer Science ISBN: 9783030997359

E-commerce provides rich multimodal data that is barely leveraged in practice. One aspect of this data is a category tree that is being used in search and recommendation. However, in practice, during a user’s session there is often a mismatch betwe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58ebf18a8b08b9e9bd11bbcaede20d1c
https://dare.uva.nl/personal/pure/en/publications/extending-clip-for-categorytoimage-retrieval-in-ecommerce(3d79d178-8e1a-45cd-81e7-b210d69f2955).html

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tackling Attribute Fine-grainedness in Cross-modal Fashion Search with Multi-level Features

Autor: Goei, K., Hendriksen, M., de Rijke, M.

Publikováno v: Proceedings of the 2021 SIGIR Workshop on eCommerce (SIGIR eCom’20): July 15, 2021, Virtual Event, Montreal, Canada
Proceedings of the 2021 SIGIR Workshop on eCommerce (SIGIR eCom’20)

Leveraging information across modalities can facilitate customers throughout their journey, especially in the fashion domain where the visual modality plays an important role. Fashion products have a variety of visual groups of attributes such as sha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::fc4d7fb8563a50e98b84b6169caf410b
https://dare.uva.nl/personal/pure/en/publications/tackling-attribute-finegrainedness-in-crossmodal-fashion-search-with-multilevel-features(2aedccab-b3b3-4299-8718-76a23d877415).html

Learning to Ask Conversational Questions by Optimizing Levenshtein Distance

Autor: Liu, Z., Ren, P., Chen, Z., Ren, Z., de Rijke, M., Zhou, M., Zong, C., Xia, F., Li, W., Navigli, R.

Publikováno v: The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ACL-IJCNLP 2021 : proceedings of the conference : August 1-6, 2021, 1, 5638-5650
ACL/IJCNLP (1)

Conversational Question Simplification (CQS) aims to simplify self-contained questions into conversational ones by incorporating some conversational characteristics, e.g., anaphora and ellipsis. Existing maximum likelihood estimation (MLE) based meth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43d8dbbdf64581cdff2664b1508e5c97