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To me Confluence's problem is the not-very-relevant search, which either gives me generic blank documents that someone created as a placeholder (?!? -- I've sta
by NortySpock 5y ago
To me Confluence's problem is the not-very-relevant search, which either gives me generic blank documents that someone created as a placeholder (?!? -- I've started suffixing these with (blank)) or fails to find synonyms or related words when I can't quite come up with the exact search term (wonder if these "related words or synonyms" could be manually added...)
I'm sure it is a difficult problem but I haven't really found any good solutions other than "make really long titles that use many words to describe the content" or "Add lots of tags" and even them I'm not sure it helps or not. Does the search take into account click-through rate? Link count?
- svcrunch 5y ago> gives me generic blank documents that someone created as a placeholder ... fails to find synonyms or related words ... Add lots of tags These kinds of problems can be solved using neural networks as the foundation for search (variously termed "neural information retrieval" and "semantic search"). I worked on this at Google Research from 2016-2020, before launching ZIR AI in 2020 to make neural search available as a PaaS, just like Elasticsearch and Algolia have done for keyword matching. Here are a couple of introductory pieces if you're interested in learning more: [1] https://blog.zir-ai.com/the-high-cost-of-keyword-search https://blog.zir-ai.com/the-high-cost-of-keyword-search, "The High Cost of Keyword Search" [2] https://blog.zir-ai.com/semantic-search-helps-chatbots-answer-more-questions https://blog.zir-ai.com/semantic-search-helps-chatbots-answe... "Semantic search helps chatbots answer more questions"
- truenindb 5y agoconfluence's main problem is that it is being used by enterprise software people doing enterprise software baloney.