6 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling
Ruixiao Sun, Diego Uribe Mora, Zhimeng Jiang +7
Capturing user interests across extensive watch histories is critical for short-form video recommendation, yet scaling sequence length is limited by two bottlenecks: the semantic s…
PoolRank: Max/Min Pooling-based Ranking Loss for Listwise Learning & Ranking Balance
Zhizhong Chen, Carsten Eickhoff
Numerous neural retrieval models have been proposed in recent years. These models learn to compute a ranking score between the given query and document. The majority of existing mo…
ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss
Zhizhong Chen, Carsten Eickhoff
The goal of information retrieval is to recommend a list of document candidates that are most relevant to a given query. Listwise learning trains neural retrieval models by compari…
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System
Zhizhong Chen, Carsten Eickhoff
Despite advances in neural machine translation, cross-lingual retrieval tasks in which queries and documents live in different natural language spaces remain challenging. Although…