Getting To The Point – Resources

More Relevant Search Results With Natural Language Search Basically, searching is the starting point to world of information but still, there are many websites that are relying on navigation. Users have become more impatient when visiting sites and can’t find the appropriate info they’re looking for immediately. The cost of not allowing search-based browsing is pretty big for owners of these websites. You may not believe it at first but 90 percent of the consumers who’ve made online purchase said they’ve used the site search only to access the self service content, approximately 71 percent of them have used the search engine in finding the products they want and with regards to customer service and 50 percent of the users turn to search, e-commerce sites during a study of more than 2000 shoppers. The problem is, majority of search engines are actually keyword based or in other words, all text queries as well as retrieval operate under the keyword rules of stemming. This is increasing complications even further as numerous text indexing systems are picking up every word in the text apart from common occurring words such as “an,” “a,” “is,” “the,” “or,” “and,” as well as “www”.
Lessons Learned About Resources
Keyword searches have a difficult time in distinguishing between the words spelled the same way but may mean something different which may result to hits that are irrelevant to what you are looking for.
A Quick Overlook of Libraries – Your Cheatsheet
Not like keyword search systems, natural language search systems are focusing more on the meaning, the natural way that a human asks and offering answers to each other and not just what you are saying in few words. Natural language is actually concept based meaning, it is returning hits on documents that are theme/subject you explore. Basically, natural language is what we are using every day as a mean of communication among humans. This has got syntax and complies with optimality and economy. One of the major challenges that computer science has is to create a computer that is able to understand human’s natural language. Whether you believe it or not, the next closest thing that a search engine could go in reading online user’s mind is natural language. By letting the users to express themselves in their own words as if they are addressing a real human being, they’ll have the ability of using technology that understands what they are looking for instead of having a guessing machine. It is possible to relieve search engine fatigue and turn their search experience to a much more effective, positive and more human experience through natural language search. With the implementation of natural language search, it is possible for search engines to deliver a more relevant results to users.