Understand relation between Search Query and Search Intent
Internet researchers these days are focused on finding relations between search query and search intent. After years of data based analysis and interviewing frequent internet users, it’s concluded by the researchers that on an average there are a marked difference between what the users put for searching and what they actually intend to search.
Traditionally, search queries are based on using keyword-focused processes, which still prevails in all popular search engines. However, search engines are getting more efficient these days – higher level of artificial intelligence letting them better understand the actual intent of an internet searcher. Search engines like Google and MSN specifically show results both key words oriented as well as intended search results that have higher probabilities to meet the expectations of the users. Search engines with their higher level of efficiencies try to grasp the inherent meaning of a search query, and then tries to return what they feel are the most suitable search results to help answer the query.
Theoretically this process seems very simple, but there are many complicated issues are involved throughout the process before the search engine can fully understand the “search intent”. There are undoubtedly plenty of different situations when search engines like Google needs to evaluate the actual intention behind a search query before deciding on all the results to show, and it is sometimes seem difficult for a search engine to resolve what the user is actually searching.
Search engines primarily classify the queries to understand the intent more aptly. It’s true that over the years the internet users also have evolved from mere information gatherer to service seeker. Previously searching results were text based only, but now it has become multi-dimensional including texts, images and multimedia. Experts classify internet users’ queries into three heads:
Queries that look for various information only.
Queries that are intended to undergo transactions.
Queries those are navigational.
Factors that are primarily considered by the search engines in this context are as follows:
Search history of the user
Location of the user
Device from which the query is made
The characteristics of the key words are used for searching that includes spelling, grammar and abbreviations applied.
There is a clear tendency of search engines like Google and MSN to move towards intent based searching from mere query based. This type of searching models giving more fruitful results to the users, hence the popular search engines have been able to grow their user base more rapidly than the others.
About us: Amici as supreme digital marketing services provider, analyse user behavior on website using search query and search intent to improve service factor. It deliver better performance and higher yield.










