Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136117943> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W3136117943 endingPage "98" @default.
- W3136117943 startingPage "77" @default.
- W3136117943 abstract "Avoiding returns in e-commerce platforms has become a critical issue in terms of both increasing customer satisfaction and decreasing carbon footprint. In the online fashion industry a very large part of the returns is due to size and fit issues that arise from the underlying complexities of shoe and garment manufacturing combined with subjective preferences of customers towards what fits them best. In this context, size recommendation systems capable of estimating a customer’s size in thousands of available brands and categories ahead of purchase time are deemed invaluable in dramatically reducing the number of returns related to size and fit. We present a flexible and scalable size recommendation approach that overcomes some limitations of current state-of-the-art work by building upon recent advances in natural language processing and casting the size recommendation problem as a kind of “translation” problem (from articles to sizes) using an attention-based deep learning model for size and fit prediction. Through extensive experimental results, over millions of customers and articles, we demonstrate how this approach is capable of dealing with multiple customers buying from a single account, leveraging cross-category and temporal information to make better predictions, and providing explanations on the final size predictions it produces, thereby helping reduce the potential emotional costs of such predictions for customers." @default.
- W3136117943 created "2021-03-29" @default.
- W3136117943 creator A5000995930 @default.
- W3136117943 creator A5020137972 @default.
- W3136117943 creator A5023975890 @default.
- W3136117943 creator A5026846318 @default.
- W3136117943 date "2021-01-01" @default.
- W3136117943 modified "2023-09-25" @default.
- W3136117943 title "Attention Gets You the Right Size and Fit in Fashion" @default.
- W3136117943 cites W2059060829 @default.
- W3136117943 cites W2483862638 @default.
- W3136117943 cites W2749155890 @default.
- W3136117943 cites W2757500041 @default.
- W3136117943 cites W2788493241 @default.
- W3136117943 cites W2798637590 @default.
- W3136117943 cites W2893160345 @default.
- W3136117943 cites W2894397262 @default.
- W3136117943 cites W3013213399 @default.
- W3136117943 cites W3105231519 @default.
- W3136117943 doi "https://doi.org/10.1007/978-3-030-66103-8_5" @default.
- W3136117943 hasPublicationYear "2021" @default.
- W3136117943 type Work @default.
- W3136117943 sameAs 3136117943 @default.
- W3136117943 citedByCount "6" @default.
- W3136117943 countsByYear W31361179432021 @default.
- W3136117943 countsByYear W31361179432022 @default.
- W3136117943 countsByYear W31361179432023 @default.
- W3136117943 crossrefType "book-chapter" @default.
- W3136117943 hasAuthorship W3136117943A5000995930 @default.
- W3136117943 hasAuthorship W3136117943A5020137972 @default.
- W3136117943 hasAuthorship W3136117943A5023975890 @default.
- W3136117943 hasAuthorship W3136117943A5026846318 @default.
- W3136117943 hasConcept C144133560 @default.
- W3136117943 hasConcept C151730666 @default.
- W3136117943 hasConcept C162853370 @default.
- W3136117943 hasConcept C191511416 @default.
- W3136117943 hasConcept C2522767166 @default.
- W3136117943 hasConcept C2779343474 @default.
- W3136117943 hasConcept C41008148 @default.
- W3136117943 hasConcept C48044578 @default.
- W3136117943 hasConcept C77088390 @default.
- W3136117943 hasConcept C86803240 @default.
- W3136117943 hasConceptScore W3136117943C144133560 @default.
- W3136117943 hasConceptScore W3136117943C151730666 @default.
- W3136117943 hasConceptScore W3136117943C162853370 @default.
- W3136117943 hasConceptScore W3136117943C191511416 @default.
- W3136117943 hasConceptScore W3136117943C2522767166 @default.
- W3136117943 hasConceptScore W3136117943C2779343474 @default.
- W3136117943 hasConceptScore W3136117943C41008148 @default.
- W3136117943 hasConceptScore W3136117943C48044578 @default.
- W3136117943 hasConceptScore W3136117943C77088390 @default.
- W3136117943 hasConceptScore W3136117943C86803240 @default.
- W3136117943 hasLocation W31361179431 @default.
- W3136117943 hasOpenAccess W3136117943 @default.
- W3136117943 hasPrimaryLocation W31361179431 @default.
- W3136117943 hasRelatedWork W1525643724 @default.
- W3136117943 hasRelatedWork W2067938758 @default.
- W3136117943 hasRelatedWork W2302028273 @default.
- W3136117943 hasRelatedWork W2333420780 @default.
- W3136117943 hasRelatedWork W2364921833 @default.
- W3136117943 hasRelatedWork W2382623646 @default.
- W3136117943 hasRelatedWork W2388030554 @default.
- W3136117943 hasRelatedWork W2461970972 @default.
- W3136117943 hasRelatedWork W3087771547 @default.
- W3136117943 hasRelatedWork W4226151955 @default.
- W3136117943 isParatext "false" @default.
- W3136117943 isRetracted "false" @default.
- W3136117943 magId "3136117943" @default.
- W3136117943 workType "book-chapter" @default.