AdaRec: Smarter recommendations from fewer clicks

Kari Jaaskelainen

11 Nov 2025 — 1 min read

Meet AdaRec: smarter recommendations from fewer clicks

AdaRec is a new way to personalize recommendations using large language models. Instead of hand-crafted features, it turns your past interactions into short, readable stories—“narrative profiles”—and lets an LLM reason over them with just a few examples.

It thinks in two channels: horizontal behavioral alignment (spotting patterns from similar users) and vertical causal attribution (identifying which factors truly drive your choices).

Up to 8% better than traditional ML and LLM baselines when only a few examples are available.
In zero-shot setups, up to 19% better than expert-crafted profiles—great for long‑tail items and cold starts.
Lightweight fine-tuning on AdaRec’s own synthetic data can match full fine-tuning, saving time and compute.

Bottom line: clearer profiles, faster adaptation, and stronger recommendations with less data—for e-commerce and beyond.

Paper: http://arxiv.org/abs/2511.07166v1

Register: https://www.AiFeta.com

AI RecommenderSystems LLM Personalization Ecommerce NLP MachineLearning

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Meet AdaRec: smarter recommendations from fewer clicks

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