Enlister: baidu's recommender system for the biggest chinese Q&A website
By Qiwen Liu, Tianjian Chen, Dianhai Yu. 2012
34 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
In Information Systems
Citations in the corpus
- Recurrent Neural Networks with Top-k Gains for Session-based Recommendations (2017, neutral): “After that, training times grow quickly, due to exceeding the parallelization capabilities of the GPU we used.”
- Session-based Recommendations with Recurrent Neural Networks (2015, neutral): “Recall also usually correlates well with important online KPIs, such as click-through rate (CTR)(Liu et al., 2012; Hidasi & Tikk, 2012).”
- Neural Attentive Session-based Recommendation (2017, background): “Recall@N does not consider the actual rank of the item as long as it is amongst the top-N and also usually correlates well with other metrics such as click-through rate (CTR) [21].”