TSPORec: Optimizing Token Selection for LLM-Based Sequential Recommendation
_reachsumit · x · 2026-08-11
The paper TSPORec proposes a learned policy for token selection via preference optimization. This method selects informative tokens from item text, replacing the traditional first-k truncation approach used in LLM-based recommender systems to improve performance.
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