20 citations · 23 across the 17 of their papers we have counts for
5 papers · 1 filter
Efficient Multi-Task Learning via Generalist Recommender
Luyang Wang, Cangcheng Tang, Chongyang Zhang +3
Multi-task learning (MTL) is a common machine learning technique that allows the model to share information across different tasks and improve the accuracy of recommendations for a…
Learning to Represent Human Motives for Goal-directed Web Browsing
Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang +3
Motives or goals are recognized in psychology literature as the most fundamental drive that explains and predicts why people do what they do, including when they browse the web. Al…
Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants
Luyang Wang, Kai Huang, Jiao Wang +3
Drive-thru is a popular sales channel in the fast food industry where consumers can make food purchases without leaving their cars. Drive-thru recommendation systems allow restaura…
Gandhipedia: A one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network
Sayantan Adak, Atharva Vyas, Animesh Mukherjee +4
We introduce an AI-enabled portal that presents an excellent visualization of Mahatma Gandhi's life events by constructing temporal and spatial social networks from the Gandhian li…
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities
Guilherme Ramos, Ludovico Boratto
Recent literature on ranking systems (RS) has considered users' exposure when they are the object of the ranking. Although items are the object of reputation-based RS, users have a…