How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective
Multi-list interfaces are widely used in recommender systems, especially in industry,
showing collections of recommendations, one below the other, with items that have certain …
showing collections of recommendations, one below the other, with items that have certain …
Knowledge Graph-Based Integration of Conversational Advisors and Faceted Filtering
Modern e-commerce websites often provide users with a variety of components, such as
faceted filters and conversational recommender systems, that act as product advisors to help …
faceted filters and conversational recommender systems, that act as product advisors to help …
Towards multi-method support for product search and recommending
Today, online shops offer a variety of components to support users in finding suitable items,
ranging from filters and recommendations to conversational advisors and natural language …
ranging from filters and recommendations to conversational advisors and natural language …
Blending conversational product advisors and faceted filtering in a graph-based approach
T Kleemann, J Ziegler - IFIP Conference on Human-Computer Interaction, 2023 - Springer
Today's e-commerce websites often provide many different components, such as filters and
conversational product advisors, to help users find relevant items. However, filters and …
conversational product advisors, to help users find relevant items. However, filters and …
面向电子商务平台用户意图预测的时间感知分层自注意力网络
王森章， 刘毅， 张家强， 尹成语 - Journal of Cyber Security, 2021 - jcs.iie.ac.cn
在推荐系统领域, 了解电商平台中在线用户的行为意图至关重要. 目前的一些方法通常将用户与
商品之间的交互历史数据视为有序的序列, 却忽视了不同交互行为之间的时间间隔信息. 另外 …
商品之间的交互历史数据视为有序的序列, 却忽视了不同交互行为之间的时间间隔信息. 另外 …
Predicting Dynamic User–Item Interaction with Meta-Path Guided Recursive RNN
Y Liu, C Yin, J Li, F Wang, S Wang - Algorithms, 2022 - mdpi.com
Accurately predicting user–item interactions is critically important in many real applications,
including recommender systems and user behavior analysis in social networks. One major …
including recommender systems and user behavior analysis in social networks. One major …
On the convergence of intelligent decision aids
B Loepp - 2021 - dl.gi.de
On the one hand, users' decision making in today's web is supported in numerous ways,
with mechanisms ranging from manual search over automated recommendation to …
with mechanisms ranging from manual search over automated recommendation to …
Interactive methods for model-based collaborative filtering recommender systems
B Loepp - 2021 - bibliographie.ub.uni-due.de
Recommender systems have become very popular for reducing the information overload
users are often confronted with in today's web. Collaborative filtering is the method of choice …
users are often confronted with in today's web. Collaborative filtering is the method of choice …