*[Fess Site Search](https://github.com/codelibs/fess-site-search)* est une alternative gratuite à [Google Site Search](https://enterprise.google.com/search/products/gss.html). Pour plus de détails, consultez la [documentation FSS JS Generator](https://fss-generator.codelibs.org/docs/manual).

## Site Web

[fess.codelibs.org](https://fess.codelibs.org/)

## Problèmes/Questions

*[Fess Site Search](https://github.com/codelibs/fess-site-search)* é uma alternativa gratuita ao [Google Site Search](https://enterprise.google.com/search/products/gss.html). Para mais detalhes, veja a [documentação do FSS JS Generator](https://fss-generator.codelibs.org/docs/manual).

## Site

[fess.codelibs.org](https://fess.codelibs.org/)

## Problemas/Perguntas

## 官网

[fess.codelibs.org](https://fess.codelibs.org/)

## 问题/疑问

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## 入门

您可以通过两种方式尝试 Fess。第一种是自行下载并安装，第二种是使用 [Docker](https://www.docker.com/products/docker-engine)。

### 下载并安装/运行

## 公式サイト

[fess.codelibs.org](https://fess.codelibs.org/)

## 問題や質問

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## はじめに

Fessを試す方法は2つあります。1つは自分でダウンロードしてインストールする方法、もう1つは[Docker](https://www.docker.com/products/docker-engine)を使用する方法です。

*[Fess 사이트 검색](https://github.com/codelibs/fess-site-search)*은 [Google 사이트 검색](https://enterprise.google.com/search/products/gss.html)의 무료 대안입니다. 자세한 내용은 [FSS JS 생성기 문서](https://fss-generator.codelibs.org/docs/manual)를 참조하십시오.

## 웹사이트

[fess.codelibs.org](https://fess.codelibs.org/)

## 문제/질문

Google Guice - Core Library Copyright 2006-2022 Google, Inc. This product includes software developed at The Apache Software Foundation (http://www.apache.org/). META-INF/NOTICE in archive lib/plexus-utils-3.2.1.jar This product includes software developed by the Indiana University Extreme! Lab (http://www.extreme.indiana.edu/). This product includes software developed by The Apache Software Foundation (http://www.apache.org/). This product includes software developed by ThoughtWorks (http://www.thoughtworks.com)....

      // If it won't fit in a long, then we store off the intermediate product.
      if (normalizedBits + productBits >= Long.SIZE) {
        bignums.add(BigInteger.valueOf(product));
        product = 1;
        productBits = 0;
      }
      product *= normalizedNum;
      productBits = LongMath.log2(product, FLOOR) + 1;
    }
    // Check for leftovers.
    if (product > 1) {
      bignums.add(BigInteger.valueOf(product));
    }

- Follow through the wizard as above for Veeam Backup and Replication as the steps are the same between both products

- Under Backup Infrastructure -> Backup Repositories, right click and "Add Backup Repository"

- Follow the wizard.  Under the "Object Storage Backup Repository" section, choose the MinIO object storage you created above

    // vol. 2, Knuth, 4.2.2, (16) to the two-variable case. We have two value series x_i and y_i.
    // We define the arithmetic means X_n = 1/n \sum_{i=1}^n x_i, and Y_n = 1/n \sum_{i=1}^n y_i.
    // We also define the sum of the products of the differences from the means
    //           C_n = \sum_{i=1}^n x_i y_i - n X_n Y_n
    // for all n >= 1. Then for all n > 1:
    //       C_{n-1} = \sum_{i=1}^{n-1} x_i y_i - (n-1) X_{n-1} Y_{n-1}

## Common Use Cases

### E-commerce Search

```java
// Product search suggestions
SuggestItem product = new SuggestItem(
    new String[]{"iPhone 15 Pro", "Apple iPhone 15 Pro"},
    new String[][]{{"iphone"}, {"apple", "phone"}},
    1.5f,                               // boost popular products
    new String[]{"electronics", "mobile"},
    new String[]{"customer"},
    SuggestItem.Kind.DOCUMENT