Multibehavior Recommendation

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Context-Aware Sequential Model for Multi-Behaviour Recommendation
  15 Dec 2023 3 repositories listed
  Sequential recommendation models are crucial for next-item recommendations in online platforms, capturing complex patterns in user interactions.
• Multi-Behavioral Sequential Recommendation
  8 Oct 2024 1 repository listed
  Sequential recommendation models are crucial for next-item prediction tasks in various online platforms, yet many focus on a single behavior, neglecting valuable implicit interactions.
• HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
  29 Apr 2024 1 repository listed
  In the context of recommendation systems, addressing multi-behavioral user interactions has become vital for understanding the evolving user behavior.
• Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
  12 Jul 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Further ablation studies validate the effectiveness of our model design and benefits of the new MBHT framework.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.