In my previous post on Semantic Search, I discussed about what is Semantic Search in general. One of the ideas that is revolving around is how to make the search efficient.
At an average it takes 3 google searches for someone to find what they are looking for. This is mainly because the google search engine has to scan their index table and it brings out all the documents that matches the keyword, of course ranked by the google page ranking algorithm also known as PigeonRank.
But if we keep the technology aside, then there are two possible ways we start searching for something.
Until Next Time....!!!
At an average it takes 3 google searches for someone to find what they are looking for. This is mainly because the google search engine has to scan their index table and it brings out all the documents that matches the keyword, of course ranked by the google page ranking algorithm also known as PigeonRank.
But if we keep the technology aside, then there are two possible ways we start searching for something.
- When we know what we are looking for. This is the simple and straightforward case where we are very well aware of our needs and we often get result faster.
- But there is this other situation when we don't know what we are looking for. We just have knowledge about few attributes, characteristics of the object we are searching.
Until Next Time....!!!
1 comments:
It's a very interesting topic & I'm always looking forward to read your updated related to Semantic Search.
There are lot of questions come to mind on such topics like you said on an Avg 3 searches are required to yeild correct result, so;
what's the target for Semantic search, is it 2 or 1. If we consider Google handles approx 300 Million searches per day, so will SS be able to reduce it??
Would be waiting for more info ASAP.
Regards
Navrang
http://navrangblog.blogspot.com
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