Data Day Texas - Recommendations
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The document discusses job recommendations and similarities between users on a job site. It notes that millions of new jobs are discovered daily and 1.5 million new users visit the site each day. It also explains that the average lifespan of a job posting is about 30 days. The document then describes algorithms used to calculate similarities between users based on jobs viewed, and how job recommendations are personalized based on clustering users with similar interests.
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[@IndeedEng] Large scale interactive analytics with Imhotep
Link to video: https://www.youtube.com/watch?v=IZ-kC6ut1Lg
In a previous talk, we explained how we developed Imhotep, a distributed system for building decision trees for machine learning. We went on to describe how we build large scale interactive analytics tools using the same platform. This has kept our engineering and product organizations focused on key metrics by analyzing test results. It also gives our marketing organization timely and accurate insight into our data - allowing us to identify opportunities, spot trends, and learn about our job seekers. In this talk, Zak Cocos, who leads our Marketing Sciences team, and Product Manager Tom Bergman will discuss and provide examples of the valuable insights that can be gained by using Imhotep with almost any data set.
[@IndeedEng] Logrepo: Enabling Data-Driven Decisions
Video available at: http://youtu.be/y0WC1cxLsfo
At Indeed our applications generate billions of log events each month across our seven data centers worldwide. These events store user and test data that form the foundation for decision making at Indeed. We built a distributed event logging system, called Logrepo, to record, aggregate, and access these logs. In this talk, we'll examine the architecture of Logrepo and how it evolved to scale.
Jeff Chien joined Indeed as a software engineer in 2008. He's worked on jobsearch frontend and backend, advertiser, company data, and apply teams and enjoys building scalable applications.
Jason Koppe is a Systems Administrator who has been with Indeed since late 2008. He's worked on infrastructure automation, monitoring, application resiliency, incident response and capacity planning.
[@IndeedEng] Boxcar: A self-balancing distributed services protocol
Video available at: http://www.youtube.com/watch?v=E1ok08TVxDw
Indeed's flagship job search product has evolved over the years to meet new challenges. It began as a single, monolithic web application. This grew larger and increasingly complex as we built new features. To remedy this growing problem, we implemented a service-oriented architecture to improve system availability, scalability, and maintainability. We examined common practices for service-oriented architectures, and we discovered ways to improve on the state of the art. We developed these ideas into a new framework called Boxcar. In this talk, we will discuss the scaling problems we solved, the innovative ideas behind boxcar, and how we built the scalable architecture that we now use throughout our systems.
R.B. Boyer is a Software Engineer who has been with Indeed since late 2007. Over the years he has worked on a variety of projects, including distributed storage, authentication, and service architectures.
[@IndeedEng Talk] Diving deeper into data-driven product design
Video available at: http://www.youtube.com/watch?v=i8MGTZ3KWmc
At April’s @IndeedEng Talk we introduced Indeed’s philosophy and practice of A/B testing. In this talk, two Indeed product managers will discuss how we used data-driven opportunity analysis and iterative testing to build two products. From product vision to product success, we’ll describe what we tested, how it performed, and what we learned from it. Product managers, designers, and engineers who want to learn how to prioritize product and feature ideas, iterate through tests, or optimize a funnel will find valuable insights to apply to their own products.
Graham Davis is a Senior Product Manager for Employer Products at Indeed. Prior to Indeed, Graham previously worked for several startups and got an MBA from Harvard Business School.
Donald Wysocki is Product Director for Job Search at Indeed. Prior to Indeed, Donald worked at frog design and Microsoft.
[@IndeedEng] Managing Experiments and Behavior Dynamically with Proctor
Video available at: http://youtu.be/Q1T5J0KXUwY
At this very moment, Indeed is running more than one hundred A/B experiments. In previous @IndeedEng talks, we have discussed how we use A/B testing to develop better products.
In this tech talk, software engineer Matt Schemmel and product manager Tom Bergman describe Proctor, the system we developed to define and manage all of these experiments. They explain how we use Proctor to target users using data-driven rules, adjust experiments on-the-fly, and ensure clean results for multi-variate tests. Over time, Proctor has evolved from a system designed for managing experiments to one that manages overall system behavior through dynamic "feature toggle" functionality. Matt and Tom also share lessons we have learned from years of experimenting at web scale.
Matt Schemmel is a Senior Software Engineer working primarily on our Resume products.
Tom Bergman is a Product Manager currently working on our Aggregation systems. He previously helped evolve many of Indeed's data analysis tools, and also helped us launch and grow our sites in Japan, Korea, and China.
[@IndeedEng] Engineering Velocity: Building Great Software Through Fast Itera...
Video available: http://www.youtube.com/watch?v=zCy077_dyJo&feature=youtu.be
Since 2005, Indeed has created and cultivated a strong engineering culture with a focus on ownership, real-world impact, and constant incremental delivery. Our experience has demonstrated that rapid iteration is essential to discovering the most valuable functionality for our users. In the next @IndeedEng talk, Dan Heller will share some of the architectural solutions, tools, and processes Indeed has created to support constant incremental delivery of new features and enhancements.
Speaker:
Dan Heller has been working in software development for 13 years including time at Google, IBM, and long-forgotten startups. He has been at Indeed for the last 4 years, helping people get jobs by building products for Indeed’s employers and advertisers.
[@IndeedEng] Redundant Array of Inexpensive Datacenters
Video available: http://youtu.be/hOsA5UpPUSU
Learn how Indeed built one of the fastest and most reliable websites in the world. Indeed Operations ensures indeed.com is always available and always fast for the jobseeker. Operations leaders Charles Valentine and Chris Graf will share how we configure and provision multiple datacenters around the world to provide a massively scalable platform for connecting job seekers with jobs. Charles and Chris will detail a simple and inexpensive method to build a platform that provides DNS-based global load balancing and failover, provider portability, and disposable datacenters.
Speakers:
Charles Valentine (VP of Technology Services at Indeed) leads the Operations, IT, and Security teams. Prior to joining Indeed in 2011, Charles served as VP Technology Services at The Knot.
Chris Graf has managed operations at Indeed since 2011. In that time, Indeed's traffic has grown by more than 300%. Prior to Indeed, Chris managed Web operations in the online gaming industry.
[@IndeedEng] Building Indeed Resume Search
Video available: http://youtu.be/qcnP5gQGBaU
Software engineer David Tulig will dive into the architecture of Indeed’s Resume Instant Search and our use of the Google Closure tools. David will explain how we write maintainable, efficient JavaScript components for Resume Instant Search and other Indeed products. He will discuss how we create templates that run on both client and server, providing fast initial page load time and search engine-friendly pages with the responsiveness of client-side rendering.
Speaker:
David Tulig is a software engineer on the Job Search team at Indeed. David has worked on employer, resume, and job search products during his 4 years at Indeed.
[@IndeedEng] From 1 To 1 Billion: Evolution of Indeed's Document Serving System
Video available: http://youtu.be/jwq_0mPNnN8
As Indeed’s traffic has grown to its current level of over 3 billion job searches per month worldwide, we have evolved our job data storage and serving architecture in order to maintain high levels of reliability and performance, including an average retrieval time per document of 31ms. This talk describes that evolution, from the initial direct-access MySQL-based solution to a dedicated service and custom data store built around a log-structured merge-tree (LSM-Tree) implementation.
Speakers:
Jack Humphrey is director of the engineering teams that build Indeed’s job search and resume products. Since joining Indeed in 2009, he has helped build the service architecture that now handles over 3 billion job searches monthly.
Jeff Plaisance is a software engineer at Indeed focused on data storage infrastructure and analysis tools, including the datastore that serves up billions of jobs daily for Indeed’s search results.
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@Indeedeng: RAD - How We Replicate Terabytes of Data Around the World Every Day
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Indeed My Jobs: A case study in ReactJS and Redux (Meetup talk March 2016)
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@IndeedEng: Tokens and Millicents - technical challenges in launching Indeed...
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[@IndeedEng] Large scale interactive analytics with Imhotep
[@IndeedEng] Large scale interactive analytics with Imhotep
[@IndeedEng] Logrepo: Enabling Data-Driven Decisions
[@IndeedEng] Logrepo: Enabling Data-Driven Decisions
[@IndeedEng] Boxcar: A self-balancing distributed services protocol
[@IndeedEng] Boxcar: A self-balancing distributed services protocol
[@IndeedEng Talk] Diving deeper into data-driven product design
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[@IndeedEng] Managing Experiments and Behavior Dynamically with Proctor
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[@IndeedEng] Redundant Array of Inexpensive Datacenters
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一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。
3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理加利福尼亚艺术学院加利福尼亚艺术学院毕业证文凭证书流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:95270640）欢迎咨询！子小伍玩小伍比山娃小一岁虎头虎脑的很霸气父亲让山娃跟小伍去夏令营听课山娃很高兴夏令营就设在附近一所小学山娃发现那所小学比自己的学校更大更美操场上还铺有塑胶跑道呢里面很多小朋友一班一班的快快乐乐原来城里娃都藏这儿来了怪不得平时见不到他们山娃恍然大悟起来吹拉弹唱琴棋书画山娃都不懂却什么都想学山娃怨自己太笨什么都不会斟酌再三山娃终于选定了学美术当听说每月要交元时父亲犹豫了山娃也说爸算了吧咱学校一学期才转
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Generative AI Use cases applications solutions and implementation.pdf
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
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The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
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一比一原版(USF毕业证)旧金山大学毕业证如何办理
原件一模一样【微信：95270640】【旧金山大学毕业证USF学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：95270640】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理旧金山大学毕业证毕业证学位证USF学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理旧金山大学毕业证USF学位证毕业证学位证【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理旧金山大学毕业证毕业证学位证USF学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理旧金山大学毕业证毕业证学位证USF学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Blood finder application project report (1).pdf
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
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Data Day Texas - Recommendations
- 3. I
- 16. Job recommendations are significantly different Rapid inventory growth - Millions of new jobs discovered every day
- 17. Job recommendations are significantly different Rapid inventory growth - Millions of new jobs discovered every day ~ 1.5 million new users visit indeed every day
- 18. Job recommendations are significantly different Rapid inventory growth - Millions of new jobs discovered every day ~ 1.5 million new users visit indeed every day Average lifespan of a job is ~30 days
- 19. Job recommendations are significantly different Rapid inventory growth - Millions of new jobs discovered every day ~ 1.5 million new users visit indeed every day Average lifespan of a job is ~30 days One job posting usually meant to hire one individual
- 37. Compute similarity For ui In {Users} For uj In {Users} SIMi,j = compute_similarity(ui, uj )
- 47. → →
- 59. →
- 61. ∩ ∪
- 63. Items[Ui ] = {x1 , x2 , ..xn } H minhashH (Ui )= min{ x∈Itemsi | H(x) }
- 65. Similarity(U1, U2) = 1, if minhash(U1) == minhash(U2) Similarity(U1, U2) = 0, otherwise This is an unbiased estimator
- 69. Similarity(U1, U2) = 1, if minhash(U1) == minhash(U2) Similarity(U1, U2) = 0,
- 71. Hk Hk Prob(minhashH (Ui ) == minhashH (Uj )) = J(Ui , Uj )
- 74. user → {job1, job2, job3,..}
- 75. H = {H1 , H2 , ..H20 } for user in Users for hash in H minhash[hash] = min{x∈Itemsi | hash(x)}
- 76. For ui In {Users} For uj In {Users} SIMi,j = compute_similarity(ui, uj )
- 77. user1 → (111, 123, 134, 148, ..129) user2 → (101, 123, 139, 148, ..135) user3 → (191, 103, 126, 108, ..119) user4 → (191, 103, 126, 108, ..129) ...
- 78. user → {cluster} cluster → {users}
- 79. 123 → (user1, user2) 148 → (user1, user2) 129 → (user1, user4) 191 → (user3, user4) ...
- 80. →
- 81. → user1 → {job1, job2} user2 → {job2, job3, job5} 123 → {user1, user2}
- 82. → user1 → {job1, job2} user2 → {job2, job3, job5} 123 → {job1, job2, job3, job5}
- 83. 1. user → {cluster}
- 84. user → {cluster} user1 → {111, 123, ..}
- 85. 111 → {job5, job2, job9} 123 → {job1, job2, job3, job5} {job2, job5, job9, job1, job3} → →
- 86. {job2, job5, job9, job1, job3}
- 91. 1.
- 92. → → {101, 121}
- 93. → → {101, 121} {“Software Engineer”, “Java Developer”, “Python Developer”}
- 94. → → {101, 121} {“Software Engineer”, “Java Developer”, “Python Developer”} minhash({“Software Engineer”, “Java Developer”, “Python Developer”}) → {99, 135}
- 95. → → {101, 121} {“Software Engineer”, “Java Developer”, “Python Developer”} minhash({“Software Engineer”, “Java Developer”, “Python Developer”}) → {99, 135} → {99, 121}
- 97. → minhash({“Software Engineer”, “Java Developer”, “Python Developer”}) → {99,121} 99 → add {“Software Engineer”, “Java Developer”, “Python Developer”} 121 → add {“Software Engineer”, “Java Developer”, “Python Developer”}
- 98. {“Software Engineer”, “Java Developer”, “Python Developer”} {99, 121} 99 → {“Software Engineer”, “Java Developer”, “Python Developer”}
- 99. → {99, 131} {“Software Engineer”, “Java Developer”, “Python Developer”}
- 114. → → → → → →
- 116. ● ●
- 123. →
- 131. →
- 134. → → →
- 149. ● ● ●
- 150. Engineering blog & talks http://indeed.tech Open Source http://opensource.indeedeng.io Careers http://indeed.jobs Twitter @IndeedEng