552 citations · 617 across the 5 of their papers we have counts for
3 papers · 1 filter
GenPage: Towards End-to-End Generative Homepage Construction at Netflix
Lequn Wang, Jiangwei Pan, Linas Baltrunas +1
We present GenPage, an end-to-end generative approach to Netflix homepage construction that replaces the traditional multi-stage recommender stack with a single transformer. GenPag…
Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild
Linas Baltrunas, Karen Church, Alexandros Karatzoglou +1
This paper describes a real world deployment of a context-aware mobile app recommender system (RS) called Frappe. Utilizing a hybrid-approach, we conducted a large-scale app market…
GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas +2
Recommender systems are frequently used in domains in which users express their preferences in the form of graded judgments, such as ratings. If accurate top-N recommendation lists…