In the book Decision Quality, one will be trained to have three decision making system; one of them is the quick decision. Actually, when we do the decision—big decision like choosing a school and small decision like where to eat—we rank them in our…

These days I read the book Linux and the Unix Philosophy. Here are some principles: Little is graceful Make each program do one thing Construct prototype as soon as possible (So I think it is a wonderful idea to use Python or Bash scripts...) Portabi…

PageRanking 通过: Input degree of link "Flow" model - 流量判断喜好度 传统的方式又是什么呢? Every term在某个doc中的权重(地位). 公共的terms在Query与Doc中对应的的地位(单位化后)直接相乘,然后全部加起来,构成了cosin相似度. Efficient cosine ranking 传统放入堆的模式:n * log(k) 使用Quick Select:n + k * log(k) : "find to…

JSU 2013 Summer Individual Ranking Contest - 5 密码:本套题选题权归JSU所有,需要密码请联系(http://blog.csdn.net/yew1eb). 一.套题分析:该套题难度不大,适合入门有一定基础的ACMer用于练习. 二.考点:逻辑思维.基础数论.数位运算基础.深度优先搜索.动态规划. 三.竞赛形式:个人赛 四.解题时间:3小时 五.题目情况: A. BNU ACM校队时间安排表        B. 硬币水题II        C. 沙漠之…

PAT Ranking (排名) Programming Ability Test (PAT) is organized by the College of Computer Science and Technology of Zhejiang University. Each test is supposed to run simultaneously in several places, and the ranklists will be merged immediately after t…

1703: [Usaco2007 Mar]Ranking the Cows 奶牛排名 Time Limit: 5 Sec  Memory Limit: 64 MBSubmit: 323  Solved: 238[Submit][Status][Discuss] Description     农夫约翰有N(1≤N≤1000)头奶牛,每一头奶牛都有一个确定的独一无二的正整数产奶率．约翰想要让这些奶牛按产奶率从高到低排序．    约翰已经比较了M(1≤M≤10000)对奶牛的产奶率,但他发现,他还需…

Ranking SVM 简介 排序一直是信息检索的核心问题之一,Learning to Rank(简称LTR)用机器学习的思想来解决排序问题(关于Learning to Rank的简介请见我的博文Learning to Rank简介).LTR有三种主要的方法:PointWise,PairWise,ListWise.Ranking SVM算法是PointWise方法的一种,由R. Herbrich等人在2000提出, T. Joachims介绍了一种基于用户Clickthrough数据使用Rank…

Even though the UNIX system introduces a number of innovative programs and techniques, no single program or idea makes it work well. Instead, what makes it effective is an approach to programming, a philosophy of using the computer. Although that phi…

Ranking Relevance是搜索排序算法的各个影响因子中相当重要的一个部分.对于Ranking Relevance的计算,过去的技术往往分为两个大的方向:Click Behavior和Text Match. 1. Click Behavior类的feature 主要是利用用户的点击行为来计算query-doc relevance,直观上,点击越多的query-doc pair,relevance也越高,当然Click Behavior类的feature还包括:是否是首次点击,是否是最后一…

F. Contestants Ranking time limit per test:1 second memory limit per test:24 megabytes input:standard input output:standard output Ahmad is one of the best students in HIAST, and also a very good problems Solver. In the time you will spend reading th…