algo-rec-session

Installation
SKILL.md

Session-Based Recommendation

Overview

Session-based recommendation predicts the next item a user will interact with based on their current session's click/view sequence, without relying on long-term user profiles. Uses Markov chains, association rules, or neural approaches (GRU4Rec). Operates in real-time with O(sequence_length) inference.

When to Use

Trigger conditions:

  • Anonymous users (no login, no long-term profile)
  • Short browsing sessions where recency matters most
  • Real-time "next item" prediction during active sessions

When NOT to use:

  • When rich user history is available (use CF or content-based for better personalization)
  • When sessions are extremely short (1-2 clicks) — insufficient signal

Algorithm

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Installs
17
GitHub Stars
190
First Seen
Apr 10, 2026