Best Recommendation APIs in Japan

Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.

Luigi's Box is a unique technological solution that uses AI to bring customers only relevant search results and personalized product suggestions, enhances the user experience, and unlocks the potential of your business. It is a year-by-year awarded easy-to-operate solution with a support team that acts in the interest of your continuous success. Luigi's Box offers easy no-code self-service integration - you only need to paste the tracking script into the header of your web. But there is more; we understand that every platform has different needs and preferences, and therefore we offer several more integration options to choose from. Luigi's Box offers several advanced features to increase search relevance and revenue and avoid fruitless searches and other unnecessary troubles, which reached out and helped companies such as O2, Mountfield, and Dr.Max. These use cases are proof that Luigi's Box is suitable for any business or industry platform on the online market.

Algolia is an API platform for dynamic experiences that helps businesses maximize the speed of search and discovery, while solving the pain of relevance tuning through AI. Accessing the right piece of content on websites and apps has never been faster or more intuitive. Algolia Search is a powerful, fully hosted API that delivers content to users in milliseconds. Developers can customize the relevance of their user experience and get insights on how users interact with it. Algolia Recommend is a robust API that allows you to build unique product recommendations into any digital e-commerce experience.

You can orchestrate individual shopper experience at scale. Through brand inspiration and creativity, empower discovery by creating an emotional connection between consumers and brands. Respond to shoppers' needs at every moment. A micro-experience that is unique and relevant to the context of the interaction and the stage they are at in their shopping journey will be a memorable one. All engagement moments can be integrated across all devices, channels and locations to connect the shopper's journey. Optimize every stage of your shopper journey to meet your commercial goals. Your expertise can enhance algorithm-driven intelligence. Your technology stack should evolve. Keep your focus on the innovation components that make an impact. Eliminate silos with a single intelligence layer that delivers actionable insight.

Search.io is reengineering search to give developers the tools to create intelligent searches in hours and not months. Search.io optimizes search results automatically based on customer data and business data. Developers can implement advanced capabilities such as A/B testing and reinforcement learning in just a few lines. This is a significant improvement over the months it would take to implement. Search.io allows thousands of businesses to offer highly-intelligent searches on their websites, stores, or applications.

To get people consuming, subscribing, and engaging with your content, Froomle provides AI powered recommendations that help your user access the right content regardless of the channel. Froomle is composed of experts in recommender systems for the digital publishing & eCommerce industry allowing us to offer an extensive catalog of specialized modules that are tailored to meet your specific business needs.

Klevu is an intelligent site-search solution that helps e-commerce businesses increase their onsite sales and improve customer online shopping experience. Klevu powers the navigation and search experience for thousands of enterprise and mid-level online retailers. It leverages advanced semantic search, natural word processing, merchandising, and multilingual capabilities to ensure that visitors to your site find exactly the information they need, regardless of device or query complexity.

Utelly offers the best content discovery toolkit available for TV and OTT clients. To provide a comprehensive view of all content, we ingest core metadata catalogues. We also ingest individual feeds that are matched to the core metadata to create an enriching unified dataset for content discovery. Our AI enrichment modules enable sparse data sets that can be enhanced and used to improve content discovery experiences. Our search can be indexed on individual catalogs or a universal dataset, to provide an entertainment-focused search capability which is a future-proof approach to providing your customers with a great search experience. Our powerful recommendation engine uses the most recent ML/AI techniques to generate personalized suggestions based on key indicators that are identified during a user's life cycle and ingest datasets.

Personalized recommendations for entertainment platforms Rumo is a SaaS recommendation engine for entertainment content platforms. Our tool allows you to make personalized recommendations to increase user acquisition, retention, and the discoverability of content. This recommendation system is for creative content. Rumo is a flexible recommendation tool that can be used in any creative industry. Our number one priority will be to help your users find the content that they love. Get an easy overview of what recommendations can be displayed for any given piece. The similarity score is a measure of how items relate to one another. Rumo creates profiles that compile anonymous interactions from users on your platform to provide insight into their tastes and preferences. Each user is unique, so each user requires unique recommendations. Your users should stay longer on your platform. You can become the video clerk that helps customers find new topics and content.

roboMUA, an AI startup, is revolutionizing how people shop for beauty products. Our platform uses advanced machine-learning & artificial intelligence algorithms, an augmented reality system, and unique inclusive data sets covering over 100 skin colors to provide personalized recommendations for beauty products. This includes skincare, makeup, and fashion (shape/bodywear), all from the convenience of your smartphone. No need to visit a store. Our platform also offers a variety of educational tools and resources to help users make informed decisions about their beauty regimens, such as curated makeup tutorial videos that showcase specific makeup products from different brands. Over 50 beauty brands are currently represented in our algorithms. We offer custom algorithms via cloud APIs and Chrome Extension, Shopify Apps, Android and iOS Mobile Apps. roboMUA is developing the next-generation beauty retail using AI. roboMUA is your personal makeup artist in your pocket.

AI-powered recommendations can increase customer satisfaction and spend. This applies to your homepage, product details, emailing campaigns, and many other areas. We have extensive experience with many domains and sites of all sizes so we can create our own algorithms to meet our clients' needs. You can explore performance metrics and make recommendations to meet your personalization requirements. The interface is simple and easy to use for all members of your team. The recommendation engine is made possible by the RESTful API and SDKs that support multiple programming languages.

Show your customers that you are able to understand them and earn their trust. Google has spent years creating recommendations across its flagship properties, such as YouTube, Google Search, Google Ads, and Google Search. Recommendations AI uses that machine learning expertise and experience to provide personalized recommendations that are tailored to each customer's preferences and tastes across all touchpoints. Customers will love more of the things they love. You don't need to preprocess data or train or hyper-tune machine-learning models, load balance or manually provision your infrastructure for unpredictable traffic spikes. We do it all automatically. Google's machine learning models and expertise in recommendation technology allow you to take advantage of their expertise. They can correct for seasonality and bias, and excel in situations with long-tail items and cold-start users. Integrate data, manage models and make recommendations to improve performance.

Personalized suggestions--discovered through the things you already love. TasteDive allows you to discover new music, movies and TV shows, books, authors and games, as well as people who share your interests. You can also get suggestions as a visitor by using our recommendation engine. You can also stay a while, create a profile, discover interesting people and learn about cool movies, books, or games by visiting their profiles. To experiment with the API, feel free to ask for a few questions. You will need an access key to use the API. This key allows you to make 300 requests per hour. Please include a description of the product and some usage estimates. This will allow us to increase the quota for certain applications that require it, and gain a better understanding about how the service is being used. Register to save your discoveries, create inspirational lists, receive personalized recommendations, and connect with like-minded peers.

Jinni's content-to-audience platform is based on taste and offers revolutionary personalization options for video content discovery as well as targeted digital advertising for entertainment companies. Jinni's Entertainment Genome™, which is made up of thousands of content attributes, or "genes", not only understands subtle differences in TV and film entertainment content but also each individual's entertainment preferences. This allows Jinni to match content titles with the right content titles. Our mission is to be the best content-to-audience platform available for entertainment brands. We use one platform to match and promote entertainment content to the right audience, significantly increasing the profitability of entertainment advertisers and platform operators. Jinni's semantic algorithms, which match content to users' preferences, have set the stage for the next generation in content discovery and recommendations.

The fastest way to relevant search and recommendations. Increase engagement, conversion and revenue using a configurable, real-time system. We help your users find the content or products that are most relevant for them by surfacing those products. We do this while taking into consideration your business objectives in order to ensure that all sides of your marketplace or platform are being optimized fairly. Shaped is an automated, real-time recommendation system that consists of four stages. It contains all the data, machine-learning, and infrastructure required to understand and serve your discovery needs at scale. Connect and deploy quickly with direct integration into your existing data sources. Ingest and rerank in real-time based on behavioral signals. Optimize LLMs and neural rankings models to achieve the best performance. Build and experiment with retrieval and ranking components for any use cases.