SITA learns semantic interest tokens per user and selects them with per-item semantic codes, giving target-aware long-sequence modeling at O(N) inference cost.
SITA: Semantic Interest Tokens for Target-Aware Compression in Long-Sequence Recommendation Conference acronym ’XX, June 03–05, 2018, Woodstock, NY
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SITA: Semantic Interest Tokens for Target-Aware Compression in Long-Sequence Recommendation
SITA learns semantic interest tokens per user and selects them with per-item semantic codes, giving target-aware long-sequence modeling at O(N) inference cost.