Szczegóły publikacji
Opis bibliograficzny
Identifying substitute and complementary products for assortment optimization with Cleora embeddings / Sergiy Tkachuk, Anna Wróblewska, Jacek Dabrowski, Szymon ŁUKASIK // W: IJCNN 2022 [Dokument elektroniczny] : International Joint Conference on Neural Networks : Padua, Italy, 18–23 July 2022 : proceedings / IEEE. — Wersja do Windows. — Dane tekstowe. — Piscataway : IEEE, cop. 2022. — (Proceedings of ... International Joint Conference on Neural Networks ; ISSN 2161-4393). — Konferencja zorganizowana w ramach IEEE World Congress on Computational Intelligence (IEEE WCCI 2022). — e-ISBN: 978-1-7281-8671-9. — S. [1–7]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [6–7], Abstr. — Publikacja dostępna online od: 2022-09-30. — S. Łukasik - dod. afiliacja: Systems Research Institute, Polish Academy of Sciences, Warsaw
Autorzy (4)
- Tkachuk Sergiy
- Wróblewska Anna
- Dabrowski Jacek
- AGHŁukasik Szymon
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 142998 |
|---|---|
| Data dodania do BaDAP | 2022-10-29 |
| Tekst źródłowy | URL |
| DOI | 10.1109/IJCNN55064.2022.9892361 |
| Rok publikacji | 2022 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | IEEE International Joint Conference on Neural Networks 2022 |
| Czasopismo/seria | Proceedings of ... International Joint Conference on Neural Networks |
Abstract
Recent years brought an increasing interest in the application of machine learning algorithms in e-commerce, om-nichannel marketing, and the sales industry. It is not only to the algorithmic advances but also to data availability, representing transactions, users, and background product information. Finding products related in different ways, i.e., substitutes and complements is essential for users' recommendations at the vendor's site and for the vendor - to perform efficient assortment optimization. The paper introduces a novel method for finding products' substitutes and complements based on the graph embedding Cleora algorithm. We also provide its experimental evaluation with regards to the state-of-the-art Shopper algorithm, studying the relevance of recommendations with surveys from industry experts. It is concluded that the new approach presented here offers suitable choices of recommended products, requiring a minimal amount of additional information. The algorithm can be used in various enterprises, effectively identifying substitute and complementary product options.
