Solr 可以提高社交“喜欢"数量的结果吗? [英] Can Solr boost results on number of social "likes"?

问题描述

我正在尝试根据喜欢"的数量对结果进行排序.

I am trying to order the results based on the number of "likes".

最明显的解决方案是为每一行设置一个喜欢"字段，并为每个点击喜欢"的用户重新索引文档.但在这种情况下，重新索引大型文档并不实用.

The most obvious solution is to have a "likes" field for each row and re-index the document for every user who clicks "like". But re-indexing large documents isnt practical in this case.

(以下为举例:不涉及大文件)

(following is for the sake of example: no large documents involved)

理想情况下，我希望将 Solr 中的数据和用户操作作为单独的行进行索引.

Ideally, I would like to index both the data and the user actions in Solr as separate rows.

数据行(如下所示)随着时间的推移相对稳定.

The data rows (as shown below) are relatively stable over time.

id:place_1 
title: ela restaurant
meta: sea food, chinese food festival
description: this place...

操作行 会在用户每次点击赞"时插入.

The action rows are inserted each time the user clicks "like".

id:action_43141
action:like
user:john
target:place_1

id:action_44323
action:like
user:doe
target:place_1

<小时>

如果每个赞都存在于自己的行中，我如何根据点赞数提升结果?

我知道在即将到来的 Solr 4.0 中存在连接 http://wiki.apache.org/solr/加入.但它会根据匹配行的数量提高分数吗?

I know there exist joins in the upcoming Solr 4.0 http://wiki.apache.org/solr/Join . But would it improve scores based on number of matching rows?

推荐答案

看看 ExternalFileField.目前关于它的文档并不多，但请参阅 此演示文稿.

Take a look at ExternalFileField. There isn't a lot of documentation about it at the moment, but see this presentation.

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