The choices (search/browse)
Directory vs. PageRank vs. clustering vs. social search vs. personalised search vs. human-indexed web vs. social tags vs. computer processed tags vs. rss
To alleviate overload of results and relevancy this was what followed (not sure if that equates to the old precision vs. recall issue):
Search by RSS - Technorati, Feedster, Blogpulse, etc…
See more on indexing issues:
SEW: How Search Engines Index RSS & Why It Doesn’t Necessarily Matter
For the Vox Populi, Part II: A Comparison of How Some Blog Aggregation and RSS Search Tools Work for Keyword Search
Search full-text human/social web – Zniff (Spurl), Simpy, Furl, or meta-search (Gataga-now defunct)
Zniff searches the full-text of the Spurl bookmark community, as Furl and Simpy have full-text search of their bookmark communities.
I think Zniff has got the idea, just incorporate tags (human indexed web) as part of the ranking…Gataga would just augment this by being a meta-engine…then re-rank again for personalisation.
Even with tagging, search is still needed (discovery vs. findability)
Yahoo My Web Tagging & Why (So Far) It Sucks…and more.
Coming To Terms With Tags: Folksonomies, Tagging Systems And Human Information
Tagging alone is not a panacea for retrieval!
All this re-ranking, when you can become search experts, using boolean syntax, fielded searching, etc..dig into the opaque web! (I think this means using your search intelligence to get those results that are relevant to you at the top of your results)…but will lay people develop skills..
That’s the issue, lay searchers, and also many experts are both finding relevancy and exhaustivity an issue (one more than the other)…what will the semantic web do…will it finally be a library catalogue for the web (DC) and probably more (ontologies and all that stuff)…Google don’t care, keyword search works for the lay person…what about the research needs of the scholar…even if people go to the trouble to add metadata to webpages to help relevancy in searches, the search engines have to take notice of this input in their indexing procedures.
Context, relevancy (re-ranking, metadata, concepts) applies more than ever in the time crucial environment of the enterprise…here are 2 articles on enterprise search:
Beyond keyword search: How a “concept” search can improve information gathering in a CI context.
Recent Trends in Enterprise Search
It comes down to ranking for relevancy (general and personalised), search syntax, user interface, education in searching and how search engines work, and most of all understanding there are an array of tools for an array of needs.
That is, web search engines are serving individual purposes and needs…because they can do a lot of things it doesn’t mean they do them all well…if keyword search doesn’t serve your purpose (eg. scholarly research) use a subscription database…maybe Answers.com is better for facts…there is more than one tool (a world outside Google).