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Found 5 papers, 1 papers with code
InteraRec: Interactive Recommendations Using Multimodal Large Language Models
Weblogs, comprised of records detailing user activities on any website, offer valuable insights into user preferences, behavior, and interests.
InteraSSort: Interactive Assortment Planning Using Large Language Models
Assortment planning, integral to multiple commercial offerings, is a key problem studied in e-commerce and retail settings.
Estimating the Personality of White-Box Language Models
Our work seeks to address this gap by exploring the personality traits of several large-scale language models designed for open-ended text generation and the datasets used for training them.
Choice-Aware User Engagement Modeling andOptimization on Social Media
We address the problem of maximizing user engagement with content (in the form of like, reply, retweet, and retweet with comments)on the Twitter platform.
Multi-Purchase Behavior: Modeling, Estimation and Optimization
We study the problem of modeling purchase of multiple products and utilizing it to display optimized recommendations for online retailers and e-commerce platforms.
