DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, C. | - |
dc.contributor.author | Kim, D. | - |
dc.contributor.author | Yu, H. | - |
dc.date.accessioned | 2019-12-18T07:50:03Z | - |
dc.date.available | 2019-12-18T07:50:03Z | - |
dc.date.created | 2019-08-24 | - |
dc.date.issued | 2019-12 | - |
dc.identifier.issn | 0950-7051 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/100526 | - |
dc.description.abstract | Users in e-commerce tend to click on items of their interest. Eventually, the more frequently an item is clicked by a user, the more likely the item will be purchased by the user after all. However, what if a user clicked on every item only once before purchases? This is a frequently observed user behavior in reality, but predicting which of the clicked items will be purchased is a challenging task. This paper addresses a practical yet widely overlooked task of predicting purchase items within a non-duplicate click session, i.e., a session in which every item is clicked only once. We propose an encoder-decoder neural architecture to simultaneously model users' click and purchase behaviors. The encoder captures a user's intent contained in the user's click session, and the decoder, which is equipped with pointer network via a switch gate, extracts relevant clicked items for future purchase candidates. To the best of our knowledge, our work is the first to address the task of purchase prediction given non-duplicate click sessions. Experiments demonstrate that our proposed method outperforms the state-of-the-art purchase prediction methods by up to 18% in terms of recall. (C) 2019 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ELSEVIER | - |
dc.relation.isPartOf | KNOWLEDGE-BASED SYSTEMS | - |
dc.title | An encoder-decoder switch network for purchase prediction | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.knosys.2019.104932 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | KNOWLEDGE-BASED SYSTEMS, v.185 | - |
dc.identifier.wosid | 000496871800007 | - |
dc.citation.title | KNOWLEDGE-BASED SYSTEMS | - |
dc.citation.volume | 185 | - |
dc.contributor.affiliatedAuthor | Park, C. | - |
dc.contributor.affiliatedAuthor | Yu, H. | - |
dc.identifier.scopusid | 2-s2.0-85070532801 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Purchase prediction | - |
dc.subject.keywordAuthor | Recommender system | - |
dc.subject.keywordAuthor | Sequential prediction | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
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