287 citations
- University of Science and Technology of ChinaCN10 papers
- Chinese Academy of SciencesCN8 papers
- Institute of Computing TechnologyCN8 papers
- Stanford UniversityUS8 papers
- Zhejiang UniversityCN8 papers
- Alibaba Group (China)CN7 papers
- Microsoft Research (United Kingdom)GB7 papers
- Peking UniversityCN7 papers
- University of Hong KongHK7 papers
- Carnegie Mellon UniversityUS6 papers
- Google (United States)US6 papers
- Jingdong (China)CN6 papers
53 papers · 1 filter
Prediction Accuracy and Autonomy
Anton Angwald, Kalle Areskoug, Alan Said
The tech industry has been criticised for designing applications that undermine individuals' autonomy. Recommender systems, in particular, have been identified as a suspected culpr…
Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts
Raluca Alexandra Fetic, Mikkel Jordahn, Lucas Chaves Lima +4
For a multilingual podcast streaming service, it is critical to be able to deliver relevant content to all users independent of language. Podcast content relevance is conventionall…
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
Jingtao Zhan, Jiaxin Mao, Yiqun Liu +3
Recently, Information Retrieval community has witnessed fast-paced advances in Dense Retrieval (DR), which performs first-stage retrieval with embedding-based search. Despite the i…
Estimation of Fair Ranking Metrics with Incomplete Judgments
Ömer Kırnap, Fernando Diaz, Asia Biega +3
There is increasing attention to evaluating the fairness of search system ranking decisions. These metrics often consider the membership of items to particular groups, often identi…
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding
Zhiqiang Wang, Qingyun She, PengTao Zhang +1
Click-through rate (CTR) estimation is a fundamental task in personalized advertising and recommender systems and it's important for ranking models to effectively capture complex h…
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
Qingyun She, Zhiqiang Wang, Junlin Zhang
Click-through rate (CTR) prediction plays important role in personalized advertising and recommender systems. Though many models have been proposed such as FM, FFM and DeepFM in re…