content recommendation engine open source
AI Search Visibility Analysis
Analyze how brands appear across multiple AI search platforms for a specific prompt
Total Mentions
Total number of times a brand appears
across all AI platforms for this prompt
Platform Presence
Number of AI platforms where the brand
was mentioned for this prompt
Linkbacks
Number of times brand website was
linked in AI responses
Sentiment
Overall emotional tone when brand is
mentioned (Positive/Neutral/Negative)
Brand Performance Across AI Platforms
| BRAND | TOTAL MENTIONS | PLATFORM PRESENCE | LINKBACKS | SENTIMENT | SCORE |
|---|---|---|---|---|---|
1Gorse | 9 | 2 | 95 | ||
2TensorFlow Recommenders | 5 | 0 | 76 | ||
3RecBole | 5 | 1 | 72 | ||
4Apache Mahout | 3 | 0 | 69 | ||
5Wikirec | 4 | 0 | 65 | ||
6Easyrec | 4 | 0 | 65 | ||
7DeepRec | 3 | 0 | 62 | ||
8HapiGER | 2 | 0 | 58 | ||
9Surprise | 1 | 0 | 56 | ||
10LibRec | 1 | 0 | 56 | ||
11PredictionIO | 2 | 0 | 56 | ||
12Raccoon | 2 | 0 | 56 | ||
13Seldon | 1 | 0 | 55 |
Strategic Insights & Recommendations
Dominant Brand
Gorse and TensorFlow Recommenders emerge as the most recommended open-source recommendation engines across platforms.
Platform Gap
ChatGPT focuses on individual tool descriptions, Google AIO emphasizes implementation methodology, while Perplexity provides comparative analysis with activity status.
Link Opportunity
There's opportunity to create comprehensive comparison guides and implementation tutorials for these open-source recommendation engines.
Key Takeaways for This Prompt
Gorse stands out as a Go-based universal recommendation system with AutoML capabilities and easy integration.
TensorFlow Recommenders offers production-ready ML pipelines suitable for complex multi-stage recommendation systems.
RecBole provides the most comprehensive algorithm library with 100+ implemented recommendation algorithms.
Many older open-source projects like PredictionIO and Raccoon are now abandoned, making active maintenance a key selection criterion.
AI Search Engine Responses
Compare how different AI search engines respond to this query
ChatGPT
BRAND (5)
SUMMARY
ChatGPT provides a comprehensive overview of five major open-source recommendation engines: Gorse (Go-based with AutoML), RecBole (Python/PyTorch with 100+ algorithms), Wikirec (Wikipedia-based using NLP), Easyrec (Java web application), and DeepRec (TensorFlow deep learning toolkit). Each tool offers unique features from collaborative filtering to deep learning approaches, suitable for different recommendation system needs.
Perplexity
BRAND (7)
SUMMARY
Perplexity offers a detailed comparison of open-source recommendation engines with focus on Gorse (Go-based universal system), TensorFlow Recommenders (production-ready ML framework), and emerging LLM-powered Open Recommender. It includes a comprehensive table comparing various engines by language, highlights, license, and activity status, noting that some projects like PredictionIO and Raccoon are abandoned while others remain active.
REFERENCES (8)
Google AIO
BRAND (4)
SUMMARY
Google AIO explains content recommendation engines fundamentals, covering content-based filtering, collaborative filtering, and hybrid systems. It mentions key open-source tools like Surprise (Python scikit), TensorFlow Recommenders, LibRec (Java), and Apache Mahout. The response provides a step-by-step implementation guide including data preparation, feature extraction, user profiling, similarity calculation, and recommendation generation.
REFERENCES (42)
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