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Stan: stage-adaptive network for multi-task recommendation by learning user lifecycle-based representation
Recommendation systems play a vital role in many online platforms, with their primary
objective being to satisfy and retain users. As directly optimizing user retention is …
objective being to satisfy and retain users. As directly optimizing user retention is …
Characterizing student engagement moods for dropout prediction in question pool websites
Problem-Based Learning (PBL) is a popular approach to instruction that supports students to
get hands-on training by solving problems. Question Pool websites (QPs) such as …
get hands-on training by solving problems. Question Pool websites (QPs) such as …
A counterfactual modeling framework for Churn prediction
Accurate churn prediction for retaining users is keenly important for online services because
it determines their survival and prosperity. Recent research has specified social influence to …
it determines their survival and prosperity. Recent research has specified social influence to …
Understanding the user behavior of foursquare: A data-driven study on a global scale
Being a leading online service providing both local search and social networking functions,
Foursquare has attracted tens of millions of users all over the world. Understanding the user …
Foursquare has attracted tens of millions of users all over the world. Understanding the user …
Empowering Predictive Modeling by GAN-based Causal Information Learning
Generally speaking, we can easily specify many causal relationships in the prediction tasks
of ubiquitous computing, such as human activity prediction, mobility prediction, and health …
of ubiquitous computing, such as human activity prediction, mobility prediction, and health …
Myokey: Surface electromyography and inertial motion sensing-based text entry in ar
The seamless textual input in Augmented Reality (AR) is very challenging and essential for
enabling user-friendly AR applications. Existing approaches such as speech input and …
enabling user-friendly AR applications. Existing approaches such as speech input and …
Interpretable business survival prediction
The survival of a business is undeniably pertinent to its success. A key factor contributing to
its continuity depends on its customers. The surge of location-based social networks such as …
its continuity depends on its customers. The surge of location-based social networks such as …
Causal analysis on the anchor store effect in a location-based social network
A particular phenomenon of interest in Retail Eco-nomics is the spillover effect of anchor
stores (specific stores with a reputable brand) to non-anchor stores in terms of customer …
stores (specific stores with a reputable brand) to non-anchor stores in terms of customer …
Ian: Interpretable attention network for churn prediction in lbsns
With the rise of Location-Based Social Networks (LBSNs) and their heavy reliance on User-
Generated Content, it has become essential to attract and keep more users, which makes …
Generated Content, it has become essential to attract and keep more users, which makes …
DeepPick: a deep learning approach to unveil outstanding users with public attainable features
Outstanding users (OUs) denote the influential,“core” or “bridge” users in online social
networks. How to accurately detect and rank them is an important problem for third-party …
networks. How to accurately detect and rank them is an important problem for third-party …