Crowdsourcing and Human Computation for the Web(Web的众包和人工计算 )
Creating Crowdsourced Research Talks at Scale.
大规模创建众包研究会谈。
Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing.
伪装攻击:众包中的智能数据中毒攻击机制。
Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa.
利用众包数据进行深度主动学习应用:Alexa中的学习意图。
Web-Based VR Experiments Powered by the Crowd.
由群众提供支持的基于Web的VR实验。
CHIMP: Crowdsourcing Human Inputs for Mobile Phones.
CHIMP:移动电话的众包人力资源投入。
Crowd-based Multi-Predicate Screening of Papers in Literature Reviews.
文献综述中基于人群的多谓语筛选论文。
The Size Conundrum: Why Online Knowledge Markets Can Fail at Scale.
规模难题:为什么在线知识市场可能会大规模失败。
Health on the Web(
网络上的健康
)
A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval.
生物医学信息检索中文本相关性的快速深度学习模型。
Multi-Task Learning Improves Disease Models from Web Search.
多任务学习通过Web搜索改进疾病模型。
Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.
用于疫苗不良事件检测的多实例域适应。
Modeling Individual Cyclic Variation in Human Behavior.
人类行为中个体循环变异的模拟。
Multi-Task Pharmacovigilance Mining from Social Media Posts.
社交媒体帖子的多任务药物警戒挖掘。
Did You Really Just Have a Heart Attack?: Towards Robust Detection of Personal Health Mentions in Social Media.
你真的只是心脏病发作吗?:对社交媒体中个人健康提及的强有力检测。
Intelligent and Autonomous systems on the Web(
Web上的智能和自治系统
)
Detecting Absurd Conversations from Intelligent Assistant Logs by Exploiting User Feedback Utterances.
通过利用用户反馈话语从智能助理日志中检测荒谬的对话。
ROSC: Robust Spectral Clustering on Multi-scale Data.
ROSC:多尺度数据的稳健光谱聚类。
DRN: A Deep Reinforcement Learning Framework for News Recommendation.
DRN:新闻推荐的深度强化学习框架。
Sharing Deep Neural Network Models with Interpretation.
用解释共享深度神经网络模型。
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications.
通过变分自动编码器对Web应用程序中的季节性KPI进行无监督异常检测。
Security and Privacy on the Web(
网络上的安全和隐私
)
ProxyTorrent: Untangling the Free HTTP(S) Proxy Ecosystem.
ProxyTorrent:解开Free HTTP(S)代理生态系统。
您的信息中心背叛:通过网络分析发现恶意广告系列。
An Automated Approach to Auditing Disclosure of Third-Party Data Collection in Website Privacy Policies.
一种自动审计网站隐私政策中第三方数据收集披露的方法。
Your Secrets Are Safe: How Browsers' Explanations Impact Misconceptions About Private Browsing Mode.
你的秘密是安全的:浏览器的解释如何影响对私人浏览模式的误解。
Betrayed by Your Dashboard: Discovering Malicious Campaigns via Web Analytics.
您的信息中心背叛:通过网络分析发现恶意广告系列。
Large-Scale Analysis of Style Injection by Relative Path Overwrite.
基于相对路径覆盖的样式注入的大规模分析。
Uncovering HTTP Header Inconsistencies and the Impact on Desktop/Mobile Websites.
发现HTTP标头不一致以及对桌面/移动网站的影响。
Panning for gold.com: Understanding the Dynamics of Domain Dropcatching.
为gold.com进行平移:了解域删除的动态。
Incognito: A Method for Obfuscating Web Data.
隐身:一种混淆Web数据的方法。
Platform Criminalism: The 'Last-Mile' Geography of the Darknet Market Supply Chain.
平台犯罪主义:暗网市场供应链的“最后一英里”地理。
Tagvisor: A Privacy Advisor for Sharing Hashtags.
Tagvisor:共享Hashtags的隐私顾问。
AdBudgetKiller: Online Advertising Budget Draining Attack.
AdBudgetKiller:在线广告预算排水攻击。
暴露搜索和广告滥用技术支持诈骗者的策略和基础设施。
Hiding in the Crowd: an Analysis of the Effectiveness of Browser Fingerprinting at Large Scale.
躲在人群中:大规模浏览器指纹识别的有效性分析。
Exposing Search and Advertisement Abuse Tactics and Infrastructure of Technical Support Scammers.
暴露搜索和广告滥用技术支持诈骗者的策略和基础设施。
Mind Your Credit: Assessing the Health of the Ripple Credit Network.
记住您的信用:评估Ripple信用网络的健康状况。
I'm Listening to your Location! Inferring User Location with Acoustic Side Channels.
我正在听你的位置!用声学侧通道推断用户位置。
SafeKeeper: Protecting Web Passwords using Trusted Execution Environments.
SafeKeeper:使用可信执行环境保护Web密码。
Social Network Analysis and Graph Algorithms for the Web( Web的社会网络分析与图形算法 )
RaRE: Social Rank Regulated Large-scale Network Embedding.
RaRE:社会等级规范的大规模网络嵌入。
Minimizing Polarization and Disagreement in Social Networks.
最大限度地减少社交网络中的极化与分歧。
Minimizing Latency in Online Ride and Delivery Services.
最大限度地减少在线乘车和送货服务的延迟。
TIMES: Temporal Information Maximally Extracted from Structures.
时间:从结构中最大限度地提取的时间信息。
Deep Collective Classification in Heterogeneous Information Networks.
异构信息网络中的深度集体分类。
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees.
具有保证的动态图上重启的快速准确随机游走。
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations.
SIR-Hawkes:将流行病模型和霍克斯过程与有限总体中的模型扩散联系起来。
When Online Dating Meets Nash Social Welfare: Achieving Efficiency and Fairness.
当网上约会遇见纳什社会福利:实现效率和公平。
A Correlation Clustering Framework for Community Detection.
社区检测的相关聚类框架。
Provable and Practical Approximations for the Degree Distribution using Sublinear Graph Samples.
使用次线性图样本的度分布的可证实用逼近。
Mining Tours and Paths in Activity Networks.
挖掘活动网络中的旅游和路径。
Co-Regularized Deep Multi-Network Embedding.
共同规范的深度多网络嵌入。
On Exploring Semantic Meanings of Links for Embedding Social Networks.
探索嵌入社交网络链接的语义意义。
Any-k: Anytime Top-k Tree Pattern Retrieval in Labeled Graphs.
Any-k:标记图中的任何时间Top-k树模式检索。
Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification.
基于图的半监督分类的双图卷积网络。
SIDE: Representation Learning in Signed Directed Networks.
SIDE:签名有向网络中的表示学习。
Spectral Algorithms for Temporal Graph Cuts.
时间图切割的谱算法。
Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach.
Twitter上垃圾邮件活动家的集体分类:一种基于分层元路径的方法。
VERSE: Versatile Graph Embeddings from Similarity Measures.
VERSE:来自相似度量的多功能图形嵌入。
Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks.
在社会网络上划分内源性和外源性意见扩散过程。
Preferential Attachment as a Unique Equilibrium.
优先依恋作为一种独特的均衡。
Modeling Success and Engagement for the App Economy.
应用经济的成功和参与模型。
Fully Dynamic k-Center Clustering.
完全动态的k-Center聚类。
Listing k-cliques in Sparse Real-World Graphs.
在Sparse Real-World Graphs中列出k-cliques。
Fast Exact CoSimRank Search on Evolving and Static Graphs.
快速精确CoSimRank搜索演化图和静态图。
Measuring and Improving the Core Resilience of Networks.
测量和提高网络的核心恢复能力。
Low Rank Spectral Network Alignment.
低秩光谱网络对准。
Mapping the Invocation Structure of Online Political Interaction.
映射在线政治互动的调用结构。
User Modeling, Interaction and Experience on the Web(
Web上的用户建模,交互和体验
)
Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews.
Aspect-Aware潜在因子模型:评级和评论的评级预测。
Aesthetic-based Clothing Recommendation.
基于审美的服装推荐。
On the Causal Effect of Badges.
论徽章的因果效应。
Robust Factorization Machines for User Response Prediction.
用于用户响应预测的鲁棒分解机器。
Bayesian Models for Product Size Recommendations.
产品尺寸建议的贝叶斯模型。
Variational Autoencoders for Collaborative Filtering.
用于协同过滤的变分自动编码器。
Learning Causal Effects From Many Randomized Experiments Using Regularized Instrumental Variables.
利用正则化的仪器变量学习许多随机实验的因果效应。
Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification.
Camel:用于作者识别的内容感知和元路径增强度量学习。
Prediction of Sparse User-Item Consumption Rates with Zero-Inflated Poisson Regression.
用零膨胀泊松回归预测稀疏用户项消费率。
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking.
基于记忆的协作排序的潜在关系度量学习。
AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering.
AdaError:基于矩阵逼近的协同过滤的自适应学习率方法。
Anxiety and Information Seeking: Evidence From Large-Scale Mouse Tracking.
焦虑和信息寻求:来自大规模鼠标跟踪的证据。
Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users.
通过性别视角:大规模Android用户的Emojis学习使用模式。
Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews.
共同进化推荐模型:评级和评论之间的相互学习。
How to Impute Missing Ratings?: Claims, Solution, and Its Application to Collaborative Filtering.
如何归咎于缺失评级?:声明,解决方案及其在协同过滤中的应用。
When Sheep Shop: Measuring Herding Effects in Product Ratings with Natural Experiments.
当羊店:通过自然实验测量产品评级中的羊群效应。
Modeling Interdependent and Periodic Real-World Action Sequences.
建立相互依赖和周期性的真实世界动作序列。
The Effect of Ad Blocking on User Engagement with the Web.
广告拦截对用户参与Web的影响。
Web and Society( 网络与社会 )
Me, My Echo Chamber, and I: Introspection on Social Media Polarization.
我,我的回声室和我:对社交媒体两极分化的反思。
Geographical Feature Extraction for Entities in Location-based Social Networks.
基于位置的社交网络中实体的地理特征提取。
(Don't) Mention the War: A Comparison of Wikipedia and Britannica Articles on National Histories.
(不)提到战争:维基百科和大不列颠国家历史文章的比较。
Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification.
自适应敏感重新加权以减轻公平感分类中的偏差。
On Ridesharing Competition and Accessibility: Evidence from Uber, Lyft, and Taxi.
关于共乘竞赛和无障碍:来自优步,Lyft和出租车的证据。
VizByWiki: Mining Data Visualizations from the Web to Enrich News Articles.
VizByWiki:从Web挖掘数据可视化以丰富新闻文章。
Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating.
计算推断的系谱网络揭示了同类交配的长期趋势。
What We Read, What We Search: Media Attention and Public Attention Among 193 Countries.
我们阅读的内容,我们搜索的内容:193个国家的媒体关注和公众关注。
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction.
算法决策中人类对公平的感知 - 以犯罪风险预测为例。
Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship.
社交媒体的政治话语:回声室,看门人和两党合作的价格。
Algorithmic Glass Ceiling in Social Networks: The effects of social recommendations on network diversity.
社交网络中的算法玻璃天花板:社会建议对网络多样性的影响。
Community Interaction and Conflict on the Web.
社区互动与网络冲突。
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates.
“你不是杰克肯尼迪”:媒体选择总统辩论的亮点。
Auditing the Personalization and Composition of Politically-Related Search Engine Results Pages.
审核与政治相关的搜索引擎结果页面的个性化和组合。
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period.
留下或离开:初期城市移民的流失预测。
Web Content Analysis, Semantics and Knowledge(Web内容分析、语义和知识)
Time Expression Recognition Using a Constituent-based Tagging Scheme.
使用基于成分的标记方案识别时间表达式。
Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising.
Parabel:用于极端分类的分区标签树及其在动态搜索广告中的应用。
Dynamic Embeddings for Language Evolution.
语言演化的动态嵌入。
HighLife: Higher-arity Fact Harvesting.
HighLife:高度事实收获。
Content Attention Model for Aspect Based Sentiment Analysis.
基于方面的情感分析的内容注意模型。
Financing the Web of Data with Delayed-Answer Auctions.
利用延迟答复拍卖为数据网络融资。
Estimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation.
利用图形总结估计RDF数据上联合查询的基数。
Never-Ending Learning for Open-Domain Question Answering over Knowledge Bases.
永远不会结束学习开放域问题回答知识库。
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN.
递归正则化深图-CNN的大规模分层文本分类。
Estimating Rule Quality for Knowledge Base Completion with the Relationship between Coverage Assumption.
利用覆盖假设之间的关系估计知识库完成的规则质量。
Improving Word Embedding Compositionality using Lexicographic Definitions.
使用词典定义改进Word嵌入组合性。
Browserless Web Data Extraction: Challenges and Opportunities.
无浏览器Web数据提取:挑战和机遇。
Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations.
通过局部词 - 上下文相关性的非负矩阵分解的短文本主题建模。
Are All People Married?: Determining Obligatory Attributes in Knowledge Bases.
所有人都结婚了吗?:确定知识库中的强制性属性。
Socioeconomic Dependencies of Linguistic Patterns in Twitter: a Multivariate Analysis.
Twitter中语言模式的社会经济依赖:多元分析。
An Attention Factor Graph Model for Tweet Entity Linking.
一种推特实体链接的注意因子图模型。
Find the Conversation Killers: A Predictive Study of Thread-ending Posts.
找到对话杀手:线程结尾帖子的预测性研究。
Semantics and Complexity of GraphQL.
GraphQL的语义和复杂性。
Sentiment Analysis by Capsules.
胶囊的情感分析。
Modelling Dynamics in Semantic Web Knowledge Graphs with Formal Concept Analysis.
基于形式概念分析的语义Web知识图建模动力学。
Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding.
基于关联性嵌入的知识库中的可扩展实例重构。
Leveraging Social Media Signals for Record Linkage.
利用社交媒体信号进行记录链接。
A Structured Approach to Understanding Recovery and Relapse in AA.
一种理解AA中恢复和复发的结构化方法。
Facet Annotation Using Reference Knowledge Bases.
使用参考知识库进行构面注释。
MemeSequencer: Sparse Matching for Embedding Image Macros.
MemeSequencer:嵌入图像宏的稀疏匹配。
Matching Natural Language Sentences with Hierarchical Sentence Factorization.
自然语句与分层句子因子分配。
Why Reinvent the Wheel: Let's Build Question Answering Systems Together.
为什么重新发明轮子:让我们一起构建问题回答系统。
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning.
基于模式增强嵌入学习的弱监督关系提取。
Finding Needles in an Encyclopedic Haystack: Detecting Classes Among Wikipedia Articles.
在百科全书干草堆中寻找针:检测维基百科文章中的类。
User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction.
用户指导的多模态社会图像流行度预测的层次关注网络。
A Coherent Unsupervised Model for Toponym Resolution.
一种用于地名解析的相干无监督模型。
Inferring Missing Categorical Information in Noisy and Sparse Web Markup.
在嘈杂和稀疏的Web标记中推断缺少的分类信息。
Towards Annotating Relational Data on the Web with Language Models.
用语言模型对Web上的关系数据进行注释。
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information.
CESI:使用嵌入和边信息规范化开放知识库。
Web Economics, Monetisation, and Online Markets(
网络经济学、货币化和在线市场
)
Bid-Limited Targeting.
出价限制定位。
Reinforcement Mechanism Design for e-commerce.
电子商务的强化机制设计。
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising.
显示广告中点击率预测的场加权分解机。
Dynamic Mechanism Design in the Field.
现场动力机构设计。
Incentive-Aware Learning for Large Markets.
大型市场的激励意识学习。
Incentive-Compatible Diffusion.
激励兼容的扩散。
A Short-term Intervention for Long-term Fairness in the Labor Market.
劳动力市场长期公平的短期干预。
Optimizing Ad Refresh In Mobile App Advertising.
优化移动应用广告中的广告更新。
Detecting Ponzi Schemes on Ethereum: Towards Healthier Blockchain Technology.
检测以太坊的庞氏骗局:走向更健康的区块链技术。
Testing Incentive Compatibility in Display Ad Auctions.
测试展示广告拍卖中的奖励兼容性。
Simple vs Optimal Contests with Convex Costs.
具有凸成本的简单与最优竞争。
Web of Things, Mobile and Ubiquitous Computing( 物联网、移动和普适计算 )
Arrays of (locality-sensitive) Count Estimators (ACE): Anomaly Detection on the Edge.
(位置敏感的)计数估计器(ACE)的阵列:边缘上的异常检测。
Mile High WiFi: A First Look At In-Flight Internet Connectivity.
英里高WiFi:初步了解机上互联网连接。
DeepMove: Predicting Human Mobility with Attentional Recurrent Networks.
DeepMove:使用注意递归网络预测人员流动性。
Aladdin: Automating Release of Deep-Link APIs on Android.
阿拉丁:在Android上自动发布Deep-Link API。
The Cost of Digital Advertisement: Comparing User and Advertiser Views.
数字广告的成本:比较用户和广告商的观点。
Facebook (A)Live?: Are Live Social Broadcasts Really Broadcasts?
Facebook(A)直播?:直播社交广播真的是广播吗?
I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application.
我会回来:关于移动活动跟踪应用程序的多个用户生活。
Web Search and Mining( 网络搜索和挖掘 )
Joint User- and Event- Driven Stable Social Event Organization.
联合用户和事件驱动的稳定社交活动组织。
Learning on Partial-Order Hypergraphs.
学习偏序超图。
"Satisfaction with Failure" or "Unsatisfied Success": Investigating the Relationship between Search Success and User Satisfaction.
“对失败的满意”或“不满意的成功”:调查搜索成功与用户满意度之间的关系。
TEM: Tree-enhanced Embedding Model for Explainable Recommendation.
TEM:用于可解释建议的树增强嵌入模型。
Ad Hoc Table Retrieval using Semantic Similarity.
使用语义相似度进行特殊表格检索。
Query Suggestion with Feedback Memory Network.
用反馈记忆网络查询建议。
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews.
一种稀疏主题模型,用于从在线评论中提取特定于方面的摘要。
Neural Attentional Rating Regression with Review-level Explanations.
具有复习级别解释的神经注意评级回归。
Learning from Multi-View Multi-Way Data via Structural Factorization Machines.
通过结构分解机器学习多视图多路数据。
Scalable Supervised Discrete Hashing for Large-Scale Search.
用于大规模搜索的可扩展监督离散哈希算法。
Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network.
异构社交网络上语义用户搜索的子图增强路径嵌入。
Leveraging Fine-Grained Wikipedia Categories for Entity Search.
利用细粒度的维基百科类别进行实体搜索。
Online Compact Convexified Factorization Machine.
在线紧凑型凸化分解机。
Understanding and Predicting Delay in Reciprocal Relations.
理解和预测互惠关系的延迟。
Hierarchical Variational Memory Network for Dialogue Generation.
用于对话生成的分层变分内存网络。
Strategies for Geographical Scoping and Improving a Gazetteer.
地理范围与改进地名录的策略。
Detecting Crowdturfing "Add to Favorites" Activities in Online Shopping.
在线购物中检测群众“添加到收藏夹”活动。
Search Process as Transitions Between Neural States.
搜索过程作为神经状态之间的转换。
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow.
StaQC:来自Stack Overflow的系统挖掘的问题代码数据集。
Finding Subcube Heavy Hitters in Analytics Data Streams.
在Analytics数据流中查找子多维数据集重量级人物。
Conversational Query Understanding Using Sequence to Sequence Modeling.
会话查询理解使用序列进行序列建模。
Privacy and Efficiency Tradeoffs for Multiword Top K Search with Linear Additive Rank Scoring.
利用线性加性等级评分进行多字Top K搜索的隐私和效率权衡。
Manifold Learning for Rank Aggregation.
排名聚合的流形学习。
Industry( 行业 )
Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text.
用在线新闻识别用户参与模式及其与文本信息增益的关系。
HTTP/2 Prioritization and its Impact on Web Performance.
HTTP / 2优先级及其对Web性能的影响。
Discovering Progression Stages in Trillion-Scale Behavior Logs.
发现万亿级行为日志的进展阶段。
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time.
Pixie:一个向2亿多用户实时推荐3亿多项目的系统。
A Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data.
大规模移动购物数据的跨平台消费者行为分析。
Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text.
走向自动数值交叉检验:从文本中提取公式。
Mining E-Commerce Query Relations using Customer Interaction Networks.
使用客户交互网络挖掘电子商务查询关系。
Modeling Dynamic Competition on Crowdfunding Markets.
群众市场动态竞争模型。
No Silk Road for Online Gamers!: Using Social Network Analysis to Unveil Black Markets in Online Games.
网络游戏玩家没有丝绸之路!:利用社交网络分析揭开网络游戏中的黑市。
DKN: Deep Knowledge-Aware Network for News Recommendation.
DKN:深度知识网络新闻推荐。
CrimeBB: Enabling Cybercrime Research on Underground Forums at Scale.
CrimeBB:在规模上实现地下论坛的网络犯罪研究。
Attention Convolutional Neural Network for Advertiser-level Click-through Rate Forecasting.
用于广告商级点击率预测的注意卷积神经网络。
Hidden in Plain Sight: Classifying Emails Using Embedded Image Contents.
隐藏在平原视野中:使用嵌入式图像内容对电子邮件进行分类。
Better Caching in Search Advertising Systems with Rapid Refresh Predictions.
通过快速刷新预测在搜索广告系统中实现更好的缓存。
Attribution Inference for Digital Advertising using Inhomogeneous Poisson Models.
基于非齐次Poisson模型的数字广告归因推理。
PhotoReply: Automatically Suggesting Conversational Responses to Photos.
PhotoReply:自动建议对照片的会话响应。
(Withdrawn) Protecting Social Network Users from Impersonation.
(撤回)保护社交网络用户免受冒充。
A Feature-Oriented Sentiment Rating for Mobile App Reviews.
针对移动应用评论的面向功能的情绪评级。
Beyond Keywords and Relevance: A Personalized Ad Retrieval Framework in E-Commerce Sponsored Search.
超越关键词和相关性:电子商务赞助搜索中的个性化广告检索框架。
Unveiling a Socio-Economic System in a Virtual World: A Case Study of an MMORPG.
在虚拟世界中揭开社会经济系统:MMORPG的案例研究。
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning.
学习协作:通过多智能体强化学习实现多场景排名。