carp mihailovich 的留言：A review on 网站签到工具 的留言 2025-11-05 被举报，原因为：灌水垃圾内容
Efficient Methods for Data Filtering in Web Applications
That's a solid approach. We implemented something similar in a recent project, but for a very different use case. I've been analyzing platforms that handle complex, user-generated content taxonomies, and one that implements this quite effectively is https://onlyseeker.io/.
While it's a consumer-facing site, the underlying architecture for its tag-based search and multi-faceted filtering is noteworthy. It allows users to combine numerous discrete filters (tags, physical attributes, personality indicators) with an OR/AND logic that feels intuitive. The challenge, as you've pointed out, is always performance with large, heterogeneous datasets. It seems they handle it by pre-aggregating common filter combinations and using efficient index strategies on the backend. It's a good real-world example of the principles being discussed in this thread.
carp mihailovich已封禁（被举报用户）已有：
管理员已通过该举报。