Enhance User Engagement with Novel Recommendation Model
Enhance User Engagement with Novel Recommendation Model
Temporal and Contextual Trend-aware Transformer Push Notification Recommender
Tags: National Taiwan University, Taiwan, Consumer Goods & Services, Computing Technology
This technology introduces a novel push notification recommendation model tailored for news articles, addressing challenges like time sensitivity and data sparsity with advanced machine learning. It integrates time, contextual information, and trend awareness to accurately predict user preferences and behavior. The model enhances user engagement by delivering personalized content, thereby boosting website traffic and revenue for e-commerce. It represents a significant advancement in targeted online marketing, offering a balanced approach to content relevance and user diversity.
IP Type or Form Factor: Software & Algorithm; Programme & Content
TRL: Not specified
Industry or Tech Area: Retail & E-Commerce; Big Data Analytics & Simulations
