Advanced Search Engines: All Set to Take Digitization into the Future
Organizations dealing with a tsunami of data are finding new and advanced ways of dealing with enterprise search. Advanced search capabilities are being included in their existing search features to create a more fruitful and customized approach to research.
The answers provided by the advanced search engines may specify a specific location, publisher, time period or category. Unlike simple search software, advanced search helps users input extra filters or additional criteria to their keywords and queries.
Here’s how search engine results are influencing new-age search capabilities in a revolutionary way.
Primary Benefits of Advanced Search Engine Results
Narrowed search engine results provide more meaningful and targeted answers. They use higher-level, AI-enabled, UI features that takes users beyond the concept of criteria and keywords. In a nutshell, advanced search engines use query intent detection, natural language processing and different artificial intelligence (AI) capabilities to give more sophisticated and elaborate results.
Natural Language Processing (NLP) in Advanced Searches
NLP or natural language processing, an important element of AI, handles advanced searches through ‘naturally’ spoken words and texts, just as humans would do. The rules of grammar in various forms can be typed easily with NLP. Resultantly, these flexible search engines produce more intuitive and smarter results than those provided through keyword searches alone.
Query Intent Detection
Enterprises using advanced search engines find the results more effective and useful as they are capable of understanding user intent. These engines are not restricted to the literal meaning of the words used in the queries. In layman terms, advanced search enginesunderstand user needs even before they are asked for. The spoke and unspoken intent of users are anticipated through the query intent detection feature of advanced searches.
Auto Suggest Feature
The auto suggest feature of advanced search engines recommends and shows different possible queries even as users start typing preferred keywords. Previous queries, compound words, dictionaries, user preferences, pre-existing searches and titles form the base of these auto suggestions. Merely typing a few letters or characters can bring about advanced search engine suggestions for the relevant queries.
Conclusion
Along with the above features, advanced search engines utilize various sophisticated versions of grammar and spelling correction, phonetic searches – aided by speech to text, bots and voice assistants and bots – to provide better user experiences. In future, more advanced algorithms, SEO metrics, AI/ NLP, and new tools will be used by advanced search engines to answer complicated, long-tailed questions. Given this, it’s time for organizations to shift to advanced queries and analytics with the intent of adopting automation and advanced digitization at a faster pace.