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How Search Engines Will Become More Integrated In The Near Future

Forbes - Tech

How would search engine evolve in the next 10 years? When we talk about search engines today, search boxes and search results come to our minds. What might future search engines look like? But we would be happy to have a much more powerful search engine that we may see, hear and even feel in different scenarios, different products or different interfaces. Firstly, deeper understanding of user's intent, deeper understanding of content and more accurate matching of intent and content would empower the search engine.


A Crowd-Powered Socially Embedded Search Engine

AAAI Conferences

People have always asked questions of their friends, but now, with social media, they can broadcast their questions to their entire social network. In this paper we study the replies received via Twitter question asking, and use what we learn to create a system that augments naturally occurring “friendsourced” answers with crowdsourced answers. By analyzing of thousands of public Twitter questions and answers, we build a picture of which questions receive answers and the content of their answers. Because many questions seek subjective responses but go unanswered, we use crowdsourcing to augment the Twitter question asking experience. We deploy a system that uses the crowd to identify question tweets, create candidate replies, and vote on the best reply from among different crowd- and friend-generated answers. We find that crowdsourced answers are similar in nature and quality to friendsourced answers, and that almost a third of all question askers provided unsolicited positive feedback upon receiving answers from this novel information agent.


Infographic: Google: The Most Popular Search on Bing

#artificialintelligence

The beleaguered search engine with dreams of world domination never really had a chance against its all-conquering competitor, Google. Adding insult to injury, analysis by SEO experts Ahrefs has revealed that in 2019, the search Bing is most often tasked with is pointing its disloyal users in the direction of'google'. As of July, the search engine dealt with 44.4 million such queries from around the world, far more than the second most frequent - 'youtube' was searched for 33.3 million times. In another blow for Bing's owner Microsoft, the fifth most common search was people looking for help with Windows 10.


Intelligent Semantic Web Search Engines: A Brief Survey

arXiv.org Artificial Intelligence

The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The amount of information grows billions of databases. We need to search the information will specialize tools known generically search engine. There are many of search engines available today, retrieving meaningful information is difficult. However to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper we present survey on the search engine generations and the role of search engines in intelligent web and semantic search technologies.


Artificial Intelligence and Search Engine Trend

#artificialintelligence

Search engines understand very broad and generic information. This is why many of these search engine providers keep updating their search systems with different algorithms. For example Google search understands queries like movies, geography, images etc. This is not what a user wants. Users want to get more information and today's Google search engine cannot provide such information.