DA-GCN: A domain-aware attentive graph convolution network for shared-account cross-domain sequential recommendation
Shared-account Cross-domain Sequential recommendation (SCSR) is the task of
recommending the next item based on a sequence of recorded user behaviors, where …
recommending the next item based on a sequence of recorded user behaviors, where …
Reinforcement learning-enhanced shared-account cross-domain sequential recommendation
Shared-account Cross-domain Sequential Recommendation (SCSR) is an emerging yet
challenging task that simultaneously considers the shared-account and cross-domain …
challenging task that simultaneously considers the shared-account and cross-domain …
Time interval-enhanced graph neural network for shared-account cross-domain sequential recommendation
Shared-account cross-domain sequential recommendation (SCSR) task aims to recommend
the next item via leveraging the mixed user behaviors in multiple domains. It is gaining …
the next item via leveraging the mixed user behaviors in multiple domains. It is gaining …
π-net: A parallel information-sharing network for shared-account cross-domain sequential recommendations
Sequential Recommendation (SR) is the task of recommending the next item based on a
sequence of recorded user behaviors. We study SR in a particularly challenging context, in …
sequence of recorded user behaviors. We study SR in a particularly challenging context, in …
Parallel split-join networks for shared account cross-domain sequential recommendations
Sequential recommendation is a task in which one models and uses sequential information
about user behavior for recommendation purposes. We study sequential recommendation in …
about user behavior for recommendation purposes. We study sequential recommendation in …
Learning to distinguish multi-user coupling behaviors for tv recommendation
This paper is concerned with TV recommendation, where one major challenge is the
coupling behavior issue that the behaviors of multiple users are coupled together and not …
coupling behavior issue that the behaviors of multiple users are coupled together and not …
Identifying users behind shared accounts in online streaming services
Online streaming services are prevalent. Major service providers, such as Netflix (for
movies) and Spotify (for music), usually have a large customer base. More often than not …
movies) and Spotify (for music), usually have a large customer base. More often than not …
User identification network with contrastive clustering for shared-account recommendation
Abstract The Shared-Account Recommendation (SAR) aims to accurately identify and
accommodate the varied preferences of multiple users sharing a single account by …
accommodate the varied preferences of multiple users sharing a single account by …
User identification for enhancing IP-TV recommendation
Abstract Internet Protocol Television (IP-TV) recommendation systems are designed to
provide programs for groups of people, such as a family or a dormitory. Previous methods …
provide programs for groups of people, such as a family or a dormitory. Previous methods …
Experience individualization on online tv platforms through persona-based account decomposition
Online TV has seen rapid growth in recent years, with most of the large media companies
broadcasting their linear content online. Access to the online TV accounts is protected by an …
broadcasting their linear content online. Access to the online TV accounts is protected by an …