Search engines must be fast enough to crawl the exploding volume of new Web pages in order to provide the most up-to-date information. As the number of pages on the Web grows, so will the number of results search engines return. So, it will be increasingly important for search engines to present results in a way that makes it quick and easy for users to find exactly the information they’re looking for. Search engines have to overcome both these challenges.
- Improvements in Search interface example Voice Search
- Use of natural language process will also become more prevalent. Today, the search engine takes a set of keywords as the input and returns a list of rank-sorted links as the output. This will slowly fade and the new search framework will have questions as the input and answers as the output. The nascent form of this new framework is already available in search engines like Google and Bing.
- Expansion of semantic searching by machine learning see Rank Brain now part of google search algorithm .. "complex, multi-word queries, also called “long-tail” queries. RankBrain is designed to help better interpret those queries and effectively translate them, behind the scenes in a way, to find the best pages for the searcher."
- Personalized Search Because mobile is becoming the primary form of consumption, future search engines will try to use powerful sensing technologies like accelerometer, digital compass, gyroscope and GPS. Google recently bought a company called Behavio which predicts what a user might do next by using the information acquired from the different sensors on the user’s phone.