Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems

Designing an e-commerce recommender system that serves hundreds of millions of active users is a daunting challenge. From a human vision perspective, there're two key factors that affect users' behaviors: items' attractiveness and their matching degree with users' interests. This paper proposes Telepath, a vision-based bionic recommender system model, which understands users from such perspective. Telepath is a combination of a convolutional neural network (CNN), a recurrent neural network (RNN) and deep neural networks (DNNs). Its CNN subnetwork simulates the human vision system to extract key visual signals of items' attractiveness and generate corresponding activations. Its RNN and DNN subnetworks simulate cerebral cortex to understand users' interest based on the activations generated from browsed items. In practice, the Telepath model has been launched to JD's recommender system and advertising system. For one of the major item recommendation blocks on the JD app, click-through rate (CTR), gross merchandise value (GMV) and orders have increased 1.59%, 8.16% and 8.71% respectively. For several major ads publishers of JD demand-side platform, CTR, GMV and return on investment have increased 6.58%, 61.72% and 65.57% respectively by the first launch, and further increased 2.95%, 41.75% and 41.37% respectively by the second launch.Comment: 8 pages, 11 figures, 1 tabl

Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction

Click-through rate (CTR) prediction is of great importance in recommendation systems and online advertising platforms. When served in industrial scenarios, the user-generated data observed by the CTR model typically arrives as a stream. Streaming data has the characteristic that the underlying distribution drifts over time and may recur. This can lead to catastrophic forgetting if the model simply adapts to new data distribution all the time. Also, it's inefficient to relearn distribution that has been occurred. Due to memory constraints and diversity of data distributions in large-scale industrial applications, conventional strategies for catastrophic forgetting such as replay, parameter isolation, and knowledge distillation are difficult to be deployed. In this work, we design a novel drift-aware incremental learning framework based on ensemble learning to address catastrophic forgetting in CTR prediction. With explicit error-based drift detection on streaming data, the framework further strengthens well-adapted ensembles and freezes ensembles that do not match the input distribution avoiding catastrophic interference. Both evaluations on offline experiments and A/B test shows that our method outperforms all baselines considered.Comment: This work has been accepted by SIGIR2

Proteomics-based analysis of differentially expressed proteins in the CXCR1-knockdown gastric carcinoma MKN45 cell line and its parental cell

C-X-C chemokine receptor types 1 (CXCR1), a cell-surface G-protein-coupled receptor has been found to be associated with tumorigenesis, development, and progression of some tumors. Previously, we have found that CXCR1 overexpression is associated with late-stage gastric adenocarcinoma. We also have demonstrated that knockdown of CXCR1 could inhibit cell proliferation in vitro and in vivo. In this study, we compared the changes of protein expression profile between gastric carcinoma MKN45 cell line and CXCR1-knockdown MKN45 cell line by 2D electrophoresis. Among the 101 quantified proteins, 29 spots were significantly different, among which 13 were downregulated and 16 were up-regulated after CXCR1 knockdown. These proteins were further identified by mass spectrometry analysis. Among them, several up-regulated proteins such as hCG2020155, Keratin8, heterogeneous nuclear ribonucleoprotein C (C1/C2), and several downregulated proteins such as Sorcin, heat shock protein 27, serpin B6 isoform b, and heterogeneous nuclear ribonucleoprotein K were confirmed. These proteins are related to cell cycle, the transcription regulation, cell adherence, cellular metabolism, drug resistance, and so on. These results provide an additional support to the hypothesis that CXCR1 might play an important role in proliferation, invasion, metastasis, and prognosis, and drug resistance of gastric carcinoma

Phase transition and elastic properties of beryllium sulfide semiconductor under high pressure

In this work, pressure-induced phase transition and elastic properties of BeS II–VI compounds semiconductor are investigated by first-principle method. Phase transition of BeS from direct gap semiconductor phase (ZB) to indirect-gap semiconductor phase (RS) occurs at 51.45 GPa accompanied by 11.23% volume collapse. Phase transition is due to S atom’s weakened electron attraction. Once the shared charge center of shared electron reaches 0.58 of the distance between Be and S, will the phase be unstable. Moreover, the broadened anti-bonding state and reduced bonding state display that tetrahedral Be-S covalent bonds are weakened. And then, the ZB structure is destroyed and rebuilt to RS structure. Furthermore, changes of covalent bond would cause evident variation of elastic constants and shears on {1 0 0} and {1 1 0} planes

Half-Life Extension Enhances Drug Efficacy in Adeno-Associated Virus Delivered Gene Therapy

Prolonged half-life of protein-based therapeutics can improve drug efficacy. However, the impact of drug half-life on gene therapy, which inherently provides long-lasting production of the desired therapeutic protein, remains unclear. In this study, several proteins with extended half-lives were engineered by fusion with the soluble monomeric immunoglobulin G 1 (IgG1) fragment crystallizable (sFc) or Fc region of IgG in adeno-associated virus (AAV)-delivered gene therapy. It was demonstrated that extending the half-life of a small-sized bifunctional protein and fibroblast growth factor 21 (FGF21) significantly increased their concentrations in the bloodstream circulation. Moreover, the half-life extension of AAV-delivered FGF21 resulted in a remarkable reduction in liver injury and blood glucose, and improved glucose tolerance and insulin sensitivity in type 2 diabetes mellitus animal models. These results demonstrate the therapeutic potential of gene therapy with prolonged drug half-life in the treatment of human diseases