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Unlock Personalized Experiences with ArangoDB’s Advanced Recommendations Engine

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"The amount of data which is handled by ArangoDB exceeds 100GB and 300 million nodes. ArangoDB delivers a query-response-time of less than 20ms for our time-critical recommendations. Therefore we significantly improve the overall user experience with fast page loading and individual recommendations."

– Florian Krause, Director of Cloud Enterprise Architecture
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(no credit card required), and experience the shortest time to value for a hosted graph DB.

Sign up for ArangoGraph Insights Platform

Before signing up, please accept our terms & conditions and privacy policy.

What to expect after you signup
You can try out ArangoGraph FREE for 14 days. No credit card required and you are not obligated to keep using ArangoGraph.

At the end of your free trial, enter your credit card details to continue using ArangoGraph.

If you decide that ArangoGraph is not (yet) for you, you can simply leave and come back later.

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Read the
Case Studies

Learn why companies across industries are switching to ArangoDB for Graph.

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Hybrid Recommendations

By leveraging content-based and collaborative filtering, ArangoDB swiftly aligns user preferences with product attributes to deliver precise product recommendations. In simpler terms, it blends what we know about the user and the product to make suggestions, making it a powerhouse for e-commerce platforms seeking to boost user engagement through personalized interactions, all in just milliseconds.

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Collaborative Filtering

The combination of graph and document data models uniquely enhances collaborative filtering. The graph data model houses the relationships of user and item nodes, revealing intricate interaction patterns, crucial for precise recommendations. Conversely, the document data model stores detailed user and item attributes, providing a deep understanding of individual preferences. Only by integrating these distinct models in real-time can highly personalized and accurate recommendations be generated.

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Real-Time Personalization

ArangoDB, through its rapid data processing and AQL, dynamically tunes recommendations to align with user behavior in real-time. In streaming, it tailors content suggestions instantly to match evolving viewing habits. This seamless alignment is enabled by ArangoDB’s unique multi-model approach, which swiftly correlates user and content data, offering a responsive and personalized experience.

Contextual Recommendations

ArangoDB combines geo-spatial indexing and time-based queries to offer contextual recommendations by analyzing location and time data. In travel scenarios, it provides suggestions for nearby attractions and events based on a user’s current location and time, merging varied datasets to ensure relevance. Only by supporting these diverse data types in a single data platform can ArangoDB deliver these kind of context-aware suggestions.

locations based recommendations

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Scalable Recommendation System

ArangoDB's cluster scalability ensures recommendation systems can handle large user bases and growing data volumes. In ride-sharing, for example, this means efficiently matching drivers and passengers in real-time, accommodating fluctuating demand.

ArangoDB vs. Legacy Graph DBs
For Recommendation Engines

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ArangoDB For Recommendation Engines
Legacy Graph DB
for Recommendation Engines
Dynamic Schema Design
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Advanced Graph Algorithms
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Smart Indexing Optimization
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Cluster-Ready Scalability
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Streamlined Master Data Management
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Explore Other Use Cases

Case Management Fraud Detection Threat Mgmt Master Data Mgmt Network Mgmt
Geospatial Customer & Patient 360 Supply Chain

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Get started free today

(no credit card required), and experience the shortest time to value for a hosted graph DB.

Sign up for ArangoGraph Insights Platform

Before signing up, please accept our terms & conditions and privacy policy.

What to expect after you signup
You can try out ArangoGraph FREE for 14 days. No credit card required and you are not obligated to keep using ArangoGraph.

At the end of your free trial, enter your credit card details to continue using ArangoGraph.

If you decide that ArangoGraph is not (yet) for you, you can simply leave and come back later.

get started icon v2

Read the
Case Studies

Learn why companies across industries are switching to ArangoDB for Graph.