Do you remember the first ever natural language search engine Ask Jeeves? The search engine encourages users to use the question phrase rather than keywording in searching on the engine. The query should start with question words like how, why, what, when, where, etc. But, companies like Google out-competed Ask Jeeves by promoting more of keyword-based web searching rather than wordy question-form queries.
The problem with Ask Jeeves’ natural language searching is that not everyone, that time, can formulate a good English question, or do not have time to think about a specific question about what they want to inquire. If you encode a not specific question, the search result will be not specific as well.
This year, natural language search is coming back with improvements and developments so people can find exactly what they are looking for. This is being made possible by search engine companies, especially Google.
Natural Language Search is More Accurate
People today are always on the road and busy with their lives. When they search, they just want to get an answer and go. Before, people need to have the exact combination of keywords before they can get the answer they want. Now, there is no need to try out different keyword combination to feel satisfied with the answer.
Natural Language Search Understand Complex Queries
As mentioned earlier, one of the reasons why Ask Jeeves was out-competed by Google was because not all users can formulate a good concrete question. Today, it is not already an issue because natural language search can now understand long and complex queries.
Google’s search engine can now pull through and interpret multi-part and specific queries like dates, ordered items, cities, etc. Google also made sure that when a user asks an inquiry everything will be displayed on the page that there will be no need for him to click on another site.