Posts Tagged “Search Engine”
Google’s new search algorithm updates are expected affect 11% of the website rankings. These changes are expected to make web search a better experience. But can it work?
Success is build on failures, as every lesson learned is a teaching for next venture. Search Engine market-place is an overheated one, where bounty is as high as Google. That is why, so many companies fail in capturing this summit. This reminds me of an Indian saying, “Knights are the ones who fall in wars; how those will fall who crawls on their knees.” So, honoring the fallen Knights; let me walk you through some of big search engine shutdowns of 2010.
Google should be very satisfied and proud of its performance in the year gone by. New type of searches, adding language semantics, improved Search interfaces, and standoff with content publishers – everything just went right for it.
Real-time search is just like social networking fever either you are immune to it or suffering from “Social Networking Flu”. Come what may, you cannot ignore it anymore as Google and Bing both have joined Real-time search bandwagon.
Google has continued its march towards improvement and adding more features to its search page. If this change discomforts you then here is a respite too,,,,
Google is an essential element when it comes to the basic composition of the netizens and even the term Googling has found its place in our language’s dictionaries. This effectively means that you and I should keep on becoming better at using this engine because its life cycle is not getting shorter.
If you happen to miss a couple small search engine launches, then there are a couple of big search engine launches every year that you cannot ignore. Thanks to the media, which make exorbitant claims, and the bloggers that fill up the web with reviews along with search engine owners are eager to claim the rediscovery of the Holy Grail.
This is a key year, when his company will start raiding semantic space. Google will provide better suggestions for related searches, based on semantic analysis of search strings.
Let us have a look into some engines that make use of common sense technology for channeling a different user experience. These engines do not impress web searches with over the head linguistic or mathematical models. They give a boost to the human senses, directing common sense to act stronger and swifter.
Clustering engines group the search results in different categories based on similarity of the text, word frequency and proximity of the phrases/words found in the resultant documents. Rather than trying to map user’s keywords to the results semantically or just literally,