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考虑大家提到了多维度榜单,就我个人做了多年榜单的看法是:
1、 榜单维度多,虽然自由度大,但容易造成认知上的困难和混淆,包括宣传时也会难以突出重点。
2、 最早时我也是用统计型指标做榜单,但统计型指标最大的问题是观察者效应,即一旦榜单的统计维度较易被刷, 那么榜单有影响力后一定会有人去刷,例如 follower 数量,例如名下项目的 star 数量等。
如果指标想要客观而又不被刷,一般有两种做法:①算法不公开。②算法复杂到无法低成本刷榜。而图数据指标虽然理解成本比较高,但几乎难以被刷,符合第二种情况。
不知道大家怎么看。
The text was updated successfully, but these errors were encountered:
支持图算法,而且也是有正向的价值导向~
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考虑大家提到了多维度榜单,就我个人做了多年榜单的看法是:
1、 榜单维度多,虽然自由度大,但容易造成认知上的困难和混淆,包括宣传时也会难以突出重点。
2、 最早时我也是用统计型指标做榜单,但统计型指标最大的问题是观察者效应,即一旦榜单的统计维度较易被刷, 那么榜单有影响力后一定会有人去刷,例如 follower 数量,例如名下项目的 star 数量等。
如果指标想要客观而又不被刷,一般有两种做法:①算法不公开。②算法复杂到无法低成本刷榜。而图数据指标虽然理解成本比较高,但几乎难以被刷,符合第二种情况。
不知道大家怎么看。
The text was updated successfully, but these errors were encountered: