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recommendation-system

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Govt examines if Meta recommendation system deciding what-to-show-to-whom fits intermediary status Technology
Artificial Intelligence #meta#recommendation-system

Govt examines if Meta recommendation system deciding what-to-show-to-whom fits intermediary status

The Indian government is examining whether Meta's recommendation systems and paid content promotion are consistent with its status as an intermediary under the IT Act. Government sources said the key issue is whether the platform determines what content is shown to whom, which could amount to publishing and remove safe harbour protections.

Aug 8, 2026 1 source
Bid Farewell to Seesaw: New Framework Boosts Long-Tail Recommendation Accuracy Without Sacrificing Diversity Technology
Artificial Intelligence #session-based recommendation#long-tail

Bid Farewell to Seesaw: New Framework Boosts Long-Tail Recommendation Accuracy Without Sacrificing Diversity

A new research paper from arxiv introduces HID (Hybrid Intent-based Dual Constraint Framework), a plug-and-play solution for session-based recommendation that simultaneously improves recommendation accuracy and long-tail item performance, eliminating the traditional trade-off. The framework uses hybrid intent learning and intent constraint loss to filter session-irrelevant noise.

Jul 8, 2026 1 source
New Generative Recommendation Model HoloRec Uses Hierarchical Encoding and Interleaved Reasoning to Boost Accuracy Technology
Artificial Intelligence #generative recommendation#holistic encoding

New Generative Recommendation Model HoloRec Uses Hierarchical Encoding and Interleaved Reasoning to Boost Accuracy

A research paper introduces HoloRec, a generative recommendation model that uses holistic encoding and interleaved reasoning to overcome limitations of existing approaches. The model supports two inference modes — non-thinking for speed and thinking for higher accuracy — and shows significant gains on sparse datasets.

Jun 16, 2026 1 source
LLM-Encoded Knowledge Guides Federated Graph Recommendation to Improve Accuracy Technology
Artificial Intelligence #federated learning#graph recommendation

LLM-Encoded Knowledge Guides Federated Graph Recommendation to Improve Accuracy

Researchers propose a federated graph recommendation framework that leverages LLM-encoded semantic knowledge to guide cross-client structural aggregation, addressing the challenge of non-IID client data. The method consistently outperforms existing federated graph baselines on standard benchmarks.

Jun 16, 2026 1 source