Click-aware purchase prediction with push at the top-Reference-Cited by-同舟云学术

Click-aware purchase prediction with push at the top

Published:2020-06 Issue: Volume:521 Page:350-364
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Park Chanyoung,Kim Donghyun,Yang Min-Chul,Lee Jung-Tae,Yu Hwanjo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Amazon.com Search Click-Through Rates By Position, 2014.

2. Novelty and diversity metrics for recommender systems: choice, discovery and relevance;Castells,2011

3. Attentive collaborative filtering: multimedia recommendation with item-and component-level attention;Chen,2017

4. Position-normalized click prediction in search advertising;Chen,2012

5. Wide & deep learning for recommender systems;Cheng,2016

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Customer purchase prediction in B2C e-business: A systematic review and future research agenda;Expert Systems with Applications;2024-10

2. Understanding user intent modeling for conversational recommender systems: a systematic literature review;User Modeling and User-Adapted Interaction;2024-06-06

3. Swasthify : Health as a Service;2023 International Conference on Networking and Communications (ICNWC);2023-04-05

4. Shopify - Shop Augmentation and Recommendation System;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

5. Exclusive Item Recommendation to the Online Shopping Customers Based on Category Using Clickstream and UID Matrix;Computer Networks and Inventive Communication Technologies;2022-10-14