A Simple Fix to Recommendation Systems all Businesses should have
The evolution of search
Search and recommendation engines are now widely incorporated into businesses to enhance user experience and improve engagement. This phenomenon became increasingly common due to explosive growth in online e-commerce following the COVID-19 pandemic.
While traditional search systems are based on keywords related to product data, recommendation systems provide users with curated lists of similar products and relevant alternatives.
And today, in an era of data — personalization systems based on search history, cookies, user profiles, and metadata surprise us by finding what we want or need, even before we can think of it.
The Limitations
But contrary to the fascinating arrival of these recommendation systems, we soon found that fast changes in user behavior led to troubles in identifying user intention. Lack of context led to biased and generalized recommendations. Repetitive recommendations bored users, as only a minority of products or businesses “blessed by the algorithm,” made it to the landing pages.
AI Keytalk: the Practical Fix to Personalized Recommendations
Keytalk is a solution that enhances traditional search and recommendation systems with contextual data and AI. It’s a simple fix for boring, biased recommendation systems that gives users a chance to discover the right products. Here are a few things it resolves:
1. Longtail Discovery
Most “personalized recommendations” are actually based on user activity or popularity. This results in repetitive and generalized recommendations, where only 20% of all products ever see light.
Keytalk’s contextual properties provide REAL personalization, promoting search and recommendations of products that are ACTUALLY relevant, even if lesser-known by the public.
2. Resolves Log Dependency
New users and products in traditional recommendation systems often face a “cold start problem.” Machine learning often relies on user activity and interaction histories, making it dependent on logs.
With Keytalk, even FIRST-time visitors are provided a hassle-free, fulfilling user experience.
3. Automates Data Tagging
Many bigger companies are reliant on human intervention to create results. Professional taggers need to manually label content attributes, limiting growth and increasing room for human error.
Keytalk’s automated system minimizes human error and provides UP-TO-DATE information on millions of products.
Businesses can effectively provide personalized recommendations and enhance existing services with Keytalk. With live updates and context awareness, it streamlines automation processes and boosts strategic growth for businesses — acting as a simple fix for businesses to fully utilize recommendation systems to their advantage.
Find out more here, or contact us for more information.
