retailmenot referral

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LDAP command notes

LDAPCommon commands 1. ldapadd-X-d "cn = manager, ou = xxzx, O = netcenter, Dc = ujs, Dc = Edu, Dc = cn"-w-F first. ldif 2. ldapsearch-X-B "ou = xxzx, O = netcenter, Dc = ujs, Dc = Edu, Dc = cn" '(objectclass = *)' Ldapsearch-X-B "ou = xxzx, O = netcenter, Dc = ujs, Dc = Edu, Dc = cn" '(| (uid = *)) 'or condition Query 3. ldapsearch Data Backup Ldapsearch-H hostip-X-B "DC = JS, Dc = Edu, Dc = cn"-d "cn = admin, Dc = ujs, Dc = Edu, dc = cn "-lll" (objectclass = *) "-W Password For lll, see man ld

Recommended system based on label user recommendation system

1: Ways to contact users ' interests and items2: Typical representative of the label system3: How users tag4: Label-based recommender system5: Improvement of the algorithmSource Code View address: GitHub viewA: How to contact users ' interests and itemsThe purpose of the referral system is to contact the user's interests and items, which need to rely on different mediums. The popular recommendation system is basically three ways of contacting users '

Discussion on personalized recommendation

If the past decade is a decade of search technology, personalized recommendation technology will be one of the most important innovations of the next decade. At present, almost all large-scale e-commerce systems, such as Amazon, CDNOW, Netflix and so on, have used various forms of recommender systems to varying degrees.   And recently the "discovery" as the core of the site is beginning to emerge on the internet, such as focus on the music recommended eight treasures box, focusing on the book re

Uber driver incentive policy in Beijing (April 23)

than 4.8 pointsA. The top 500 partner owners who have completed the maximum number of orders per week will receive a gold medal service bonus of $1000.B. The top 501-1000 partners who have completed the maximum number of orders per week will receive a $800 Gold Medal Service Award if the award is metAgain, the prerequisites for obtaining any of the above awards are:* People Uber: When the average weekly score is higher than 4.8 points, when the Zhou single rate is higher than 65%, and when the

Uber driver incentive policy in Beijing (April 15)

than 4.8 pointsA. The top 500 partner owners who have completed the maximum number of orders per week will receive a gold medal service bonus of $1000.B. The top 501-1000 partners who have completed the maximum number of orders per week will receive a $800 Gold Medal Service Award if the award is metAgain, the prerequisites for obtaining any of the above awards are:* People Uber: When the average weekly score is higher than 4.8 points, when the Zhou single rate is higher than 65%, and when the

Uber driver incentive policy in Beijing (April 16)

than 4.8 pointsA. The top 500 partner owners who have completed the maximum number of orders per week will receive a gold medal service bonus of $1000.B. The top 501-1000 partners who have completed the maximum number of orders per week will receive a $800 Gold Medal Service Award if the award is metAgain, the prerequisites for obtaining any of the above awards are:* People Uber: When the average weekly score is higher than 4.8 points, when the Zhou single rate is higher than 65%, and when the

Microsoft Post Internal recommendation-senior software Engineer-news

of the Bing News team, you will be responsible for designing and developing the next generation of news indexing, search, referral, and notification infrastructure, leading the design and development of our distributed real-time systems for mid-to long-term architectures. We expect you to have a deep distributed system background coupled with proven industrial machine learning and data mining capabilities. You will be our technology leader, leading o

LDAP Error Codes

hold the target entry of the request, but that the servers in the referral F Ield May. 11 ldap_adminlimit_exceeded Indicates that a LDAP server limit set by a administrative authority has been exceeded. 12 Ldap_unavailable_critical_extension Indicates that the LDAP server is unable to satisfy a request because one or more critical extensions were not available. Either the server does not the control or

How to implement a random recommendation on a per-person basis and not repeat the recommended

System recommendation algorithm: According to each person's rules, need to carry out random recommendation, and each recommendation is different, how to achieve? Redis, MySQL? Reply content: System recommendation algorithm:According to each person's rules, need to carry out random recommendation, and each recommendation is different, how to achieve?Redis, MySQL? It is recommended to use the Redis implementation to mark the recommended items with a hash type of key-value, and the next rec

"Original" I understand Automatic Updates-environment building and protocol development

publishing"Original" I understand the Automatic Update-resource packaging process"Original" I understand the Automatic Update-client update process"Original" I understand the automatic update-Knowledge point explanationThe server in this article uses the Linode,linode is what does not need to introduce too much.Interested children's shoes can be registered via https://www.linode.com/?r=000161937771838e320f2bda5fef0dbad54ad86c server,The number after r is my

PHP failed to send Weibo

PHP Micro-Blog Windows Title, the packets are crawled with fiddler. POST http://weibo.com/aj/mblog/add?_wv=5__rnd=1374042943531 http/1.1 Host:weibo.com Connection:keep-alive Content-length:85 Origin:http://weibo.com X-requested-with:xmlhttprequest user-agent:mozilla/5.0 (Windows NT 5.1) applewebkit/537.17 (khtml, like Gecko) chrome/24.0.1312.57 safari/537.17 SE 2.X M ETASR 1.0 content-type:application/x-www-form-urlencoded Accept: */* Referer:http://weibo.com/111690558?topnav=1wvr=5 Accept-encod

"System Architecture" large Web site Architecture Technology List

through the search engine, Data Warehouse, referral system, etc., to create more valuable information, in the background to provide support for the business.1. Front-end architecture (including: Browser optimization technology, CDN, static and dynamic separation, independent deployment of resources, image services, reverse proxy, DNS and other 7 technologies)The front end refers to the user's request to reach the site application server before

ie8+, such as compatible, 360 call WebKit kernel small memory

The first is to deal with IE8, 9 and other compatibility issues, note the following points:1, as far as possible strict requirements of their own use of the recommended way to write Html/css2. Add DOCHTML html>, not clear see Reference/Recommended Blog3. Use meta tags to adjust browser rendering , where "Ie=edge" means using the latest IE kernel, "chrome=1" means if the chrome plugin (Google Chrome frame) is installed, use the WebKit kernel  360 browsers use the WebKit kernel:1. Add meta tag Ad

Asynchronous calling of multithreaded program code in PHP

This article describes in detail the implementation of the asynchronous multi-threaded method in PHP, the following we send to 1000 users a referral message, the user entered or import the mail account of the submission server to perform the send to tell. For example, there is a scene, to send 1000 users a referral mail, the user input or import mail account to submit the server to perform the send The firs

Jsoup HTML Collector

", "194262068.1565981099.1453342082.1453342082.1453342082.1"); Cookies.put ("__UTMC", "194262068"); Cookies.put ("__UTMZ", "194262068.1453342082.1.1.utmcsr=hexun.com|utmccn= (referral) |utmcmd=referral|utmcct=/ "); Cookies.put ("Hxck_sq_common", "Loginstatecookie"); //Fetch the specified URL and parse to a HTML DOM Response res = Jsoup . Connect (URL) . Cookies (Cookies) . He Ader ("User-agent", "mozill

Developer resources that Android developers must know

developer.android.com Official Developer site Referral ResourcesRead the Android Design chapter carefully before you start writing your first Android app. In particular, these articles are as follows: Devices and displays (device and display) Touch Feedback (Tactile feedback) Metrics and Grids (measures and grids) Iconography (Image Research) At the same time please download the Downloads section of the code, which contains t

Geek Web Front-end development resource Highlights

(Brush)-Voluntarily refresh whatever web pageSuasua is a great site, and when you auction on ebay, it's never going to make you miss something. Can you think of any other site that can do that?Code Recorder: jquery's toolbar tip plug-in QTIP2 basic useThis recorded code will introduce the basic usage of the well-known powerful jquery tooltip plug-in Qtip2, including static hints, dynamic hints, and AJAX-loaded content generation hints.Stock Photos, royalty free Images, Vector Art, footage | Dep

Use cookies to obtain the webpage after logon.

:34. 3 # Edit at your own risk. 4 5 bytes TRUE/FALSE 1498494348 _ utma limit 6. I .xunlei.com TRUE/FALSE 1498494325 _ utma limit 7 blocks TRUE/FALSE 1435424148 _ utmb limit 8. I .xunlei.com TRUE/FALSE 1435424125 _ utmb when 9 then TRUE/FALSE 1498494348 _ utmc 7463347910. I .xunlei.com TRUE/FALSE 1498494348 _ utmc 11257007611. I .xunlei.com TRUE/FALSE 1435422925 _ utmt 112 then TRUE/FALSE 1451190348 _ utmz then = I .xunlei.com | utmccn = (referral) | u

Explore the secrets of the recommended engine, part 2nd: in-depth recommendation engine-related algorithms-collaborative filtering

recommendation becomes an important means of navigating the User. At the same time, the Item CF makes it easy to explain the recommendation, to recommend a book to a user on a non-social network site, and to explain that someone with similar interests has read the book, which is hard to convince the user, because the user may not know the person at All. But if the explanation is that the book is similar to a book you've read before, users may find it reasonable to adopt the Recommendation.On th

4 ways to pull a seed user

batch of seed users can accumulate. How to find out? After the cold start of the product, did you notice what the path was after the users of these channels entered the product? is the basic path for the user to enter a product for the first time, this path can help us to distinguish whether he will become a seed user. User path: Through the referral / download into the product, the general user may be recommended page content consumption, some users

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