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Information overload has become the prime consequence of our technological evolution. With so much information at our fingertips, it’s strikingly and seemingly impossible to navigate and research it all. However, the solution lies in tools that push us further into an even greater technologically driven future.
Personalized search engines have become a great way for people to find what they’re looking for, but as it turns out, there’s too much information to comb through. This simple fact results in lowered user engagement and customer retention. Enter Artificial Intelligence (AI), the latest, versatile Swiss army knife that’s so malleable that industries like entertainment, news, and healthcare are all using it as a tailored solution.
AI-powered personalized search engines use machine learning (ML) algorithms to deliver tailored search results to each user. Companies can use this tool to solve industrial issues and yield the desired results—increased efficiency, improved user experience, increased customer retention, and more.
Skilled software engineers achieve this by designing AI-powered search engines that collect data about user behavior, what queries they’ve entered, the websites they browse, and how long they’re there. Afterward, this data is analyzed by ML algorithms to identify patterns unique to that user. The search engine would, as a result, be able to deliver more relevant information that would correspond to a user’s interests and needs.
As for how this can be accomplished, many tools and principles go into making an AI-powered personalized search engine possible - so let’s begin:
Machine Learning (ML): As a subset of AI, machine learning algorithms are trained to identify patterns in data and make predictions based on said patterns. This tool is applied to personalized search engines to analyze user behavior and provide more accurate search results to correspond with what they’re looking for.
Natural Language Processing (NLP): As a branch of AI implemented to make computers understand, interpret, and respond to human language, personalized search engines use this to analyze queries.
Semantic Search: This search technique is geared toward understanding user queries’ meaning rather than just keyword analysis.
Behavioral Tracking: A personalized search engine can provide the appropriate recommendations and search results by monitoring and analyzing user behavior, such as search history and click patterns.
Dynamic Search Rankings: Involve adjusting the ranking of search results based on various factors. These factors can include query intent, user behavior, and freshness of content.
These tools and principles all work in tandem to ensure that whatever answer is being sought will return the most relevant and accurate data available. Many industrial sectors within our modern lives can see great improvements in user experience from implementing this technology.
E-commerce: As a new channel within how we shop and sell things, e-commerce can see improvements in product or service recommendations, higher conversion rates, and increased revenue.
News and Media: With new media lacking the social retention it used to have, an AI-powered personalized search can increase engagement, retention, and revenue for media companies. This is possible through targeted ads and subscriptions.
Social Networking: Like news and media, social networking platforms can use this technology to boost user engagement and retention of their services, whether through personalized suggestions or feed tweaks to display relevant content, such as friend and event suggestions.
Healthcare: The healthcare industry can also benefit from AI-powered search engines; medical professionals can provide better treatments and care, improving patient outcomes. The technology can analyze patient patterns and history for an effective solution.
Scrutinizing information to provide a more concise and unique result for the consumer is at the core of this technology’s viability and importance. Some industries can see revitalization, while others can leverage it to gain an edge over the competition.
With an intent to deliver a unique experience for each user, companies can use the help of expert developers to make this a reality. Ultimately, the implementation could resolve the overlapping industrial challenges while providing a tool to improve other areas.
Our current day is being molded by, arguably, shorter attention spans and a constant itch for engaging content. We want the result as soon as we think of it, and with the engrained web of information, it’s not difficult to go through it all; it’s seemingly impossible. However, many industries have realized this and begun to adjust to it with the help of software engineers.
The entertainment industry is the most observable and tangible, with shorter and more controversial content growing in abundance. However, other, more traditional facets of modernity, like healthcare and news media, have taken a hit as well. Therefore, since the trajectory seems rigid here, it’s best to incorporate new technology to assist in the navigation of desired information.
Whether it be content, research, or open fountains of ever-changing information, our growing demands can be met with AI-powered solutions .
Chetu, Inc. does not affect the opinion of this article. Any mention of specific names for software, companies or individuals does not constitute an endorsement from either party unless otherwise specified. All case studies and blogs are written with the full cooperation, knowledge and participation of the individuals mentioned. This blog should not be construed as legal advice.
Chetu was incorporated in 2000 and is headquartered in Florida. We deliver World-Class Software Development Solutions serving entrepreneurs to Fortune 500 clients. Our services include process and systems design, package implementation, custom development, business intelligence and reporting, systems integration, as well as testing, maintenance and support. Chetu's expertise spans across the entire IT spectrum.
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