Click-through rate (CTR) prediction is a critical task in online display advertising. The data involved CTR are typically multi-field categorical data, i.e., every feature and belongs to one only field. One of the interesting characteristics such that features from field often interact differently with different other fields. Recently, Field-aware Factorization Machines (FFMs) have been among best performing models for by explicitly modeling difference. However, number parameters FFMs order...

Click-through rate (CTR) prediction plays a critical role in recommender systems and online advertising. The data used these applications are multi-field categorical data, where each feature belongs to one field. Field information is proved be important there several works considering fields their models. In this paper, we proposed novel approach model the field effectively efficiently. direct improvement of FwFM, named as Field-matrixed Factorization Machines (FmFM, or $FM^2$). We also new...

Click-through rate (CTR) prediction is a crucial task in recommender systems and online advertising. The embedding-based neural networks have been proposed to learn both explicit feature interactions through shallow component deep by network (DNN) component. These sophisticated models, however, slow down the inference at least hundreds of times. To address issue significantly increased serving latency high memory usage for real-time production, this paper presents DeepLight: framework...

Multi-task learning (MTL) models have demonstrated impressive results in computer vision, natural language processing, and recommender systems. Even though many approaches been proposed, how well these balance different tasks on each parameter still remains unclear. In this paper, we propose to measure the task dominance degree of a by total updates parameter. Specifically, compute exponentially decaying Average squared Updates (AU) from corresponding task. Based novel metric, observe that...

Multi-task learning (MTL) has gained significant popularity in recommender systems as it enables simultaneous optimization of multiple objectives. A key challenge MTL is negative transfer, but existing studies explored transfer on all samples, overlooking the inherent complexities within them. We split samples according to relative amount positive feedback among tasks. Surprisingly, still occurs methods that receive comparable across Existing work commonly employs a shared-embedding...

In online display advertising, advertisers usually participate in real-time bidding to acquire ad impression opportunities. most advertising platforms, a typical acquiring demand of is maximize the sum value winning impressions under budget and some key performance indicators constraints, (e.g. maximizing clicks with constraints cost per click upper bound). The can be various type exposure/click), constraint unit value) number. Existing works focus on specific or hardly achieve optimum. this...

Abstract Background Insulin-like growth factor 2 (IGF2) messenger RNA binding protein 3 (IMP3) has been testified to be overexpressed in prostate cancer and strongly related patients’ poor prognosis. However, the functions of IMP3 underlying mechanisms still remain unknown. Therefore, current study was carried out reveal role molecular mechanism progression. Methods The expression levels tissues cells were detected by immunohistochemistry (IHC), western blotting RT-PCR. CCK-8, clone...

Multi-task learning (MTL) has been widely used in recommender systems, wherein predicting each type of user feedback on items (e.g, click, purchase) are treated as individual tasks and jointly trained with a unified model. Our key observation is that the prediction results task may contain task-specific knowledge about user’s fine-grained preference towards items. While such could be transferred to benefit other tasks, it being overlooked under current MTL paradigm. This paper, instead,...

Cost-per-action (CPA), or cost-per-acquisition, has become the primary campaign performance objective in online advertising industry. As a result, accurate conversion rate (CVR) prediction is crucial for any real-time bidding (RTB) platform. However, CVR quite challenging due to several factors, including extremely sparse conversions, delayed feedback, attribution gaps between platform and third party, etc. In order tackle these challenges, we proposed practical framework that been...

Spinal cord injury (SCI) usually results in neurological damage. DGCR5 is closely related to disorders, and this study aims explore its role neuronal apoptosis acute SCI. The ASCI model was established rats, the Basso, Beattie, Bresnahan (BBB) scoring used assess function. expression of RNA protein quantified by quantitative real-time PCR (qRT-PCR) western blotting, respectively. oxygenglucose deprivation (OGD) performed upon neurons evaluated flow cytometry. interaction binding between...

Heterogeneity of tumor cells and the microenvironment (TME) is significantly associated with clinical outcomes treatment responses in patients urothelial carcinoma (UC). Comprehensive profiling cellular diversity interactions between malignant TME may clarify mechanisms underlying UC progression guide development novel therapies. This study aimed to extend our understanding intra-tumoral heterogeneity immunosuppressive provide basic support for therapies.Seven were included who underwent...

Long noncoding RNAs (lncRNAs) encompass short open reading frames (sORFs) that can be translated into small peptides. Here, we investigated the encoding potential of lncRNA LINC00665 in osteosarcoma (OS) cells. Bioinformatic analyses were utilized to predict lncRNAs with human U2OS Protein expression was assessed by an immunoblotting or immunofluorescence method. Cell viability cell counting Kit-8 (CCK-8). proliferation detected 5-ethynyl-2’-deoxyuridine (EdU) assay. migration gauged...

Abstract Ginsenoside Rb1 (GRb1), a major ingredient of ginseng, has been found to be potential protective agent in spinal cord injury (SCI) and activated microglia‐induced neuronal injury. This study discovered that GRb1 could facilitate miR‐130b‐5p expression SCI rats Toll‐like receptor 4 (TLR4; crucial player inflammation) was target miR‐130b‐5p. Hence, we further investigated whether relieve by reducing microglia‐mediated inflammatory responses via miR‐130b‐5p/TLR4 pathways. The results...

Since 2019, most ad exchanges and sell-side platforms (SSPs), in the online advertising industry, shifted from second to first price auctions. Due fundamental difference between these auctions, demand-side (DSPs) have had update their bidding strategies avoid unnecessarily high hence overpaying. Bid shading was proposed adjust bid intended for second-price order balance cost winning probability a first-price auction setup. In this study, we introduce novel deep distribution network optimal...

In e-commerce advertising, the ad platform usually relies on auction mechanisms to optimize different performance metrics, such as user experience, advertiser utility, and revenue. However, most of state-of-the-art only focus optimizing a single metric, e.g., either social welfare or revenue, are not suitable for advertising with various, dynamic, difficult estimate, even conflicting metrics. this paper, we propose new mechanism called Deep GSP auction, which leverages deep learning design...

Collaborative filtering (CF), as a standard method for recommendation with implicit feedback, tackles semi-supervised learning problem where most interaction data are unobserved. Such nature makes existing approaches highly rely on mining negatives providing correct training signals. However, proper is not free lunch, encountering tricky trade-off between informative hard and avoiding false ones. We devise new approach named Hardness-Aware Debiased Contrastive Filtering (HDCCF) to resolve...

A 8-year-old Chinese boy with generalized pustular psoriasis (GPP) refractory to cyclosporine and methylprednisolone was treated successfully two infusions of infliximab 3.3 mg/kg. He remained in remission for 21 months. Direct sequencing IL36RN gene showed a homozygous mutation, c.115 + 6T>C. Juvenile GPP is rare severe form occasionally associated life-threatening complications. Like acitretin, methotrexate, has been reported be effective juvenile case reports. However, there lack data the...