Next-basket recommendation

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

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

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (18 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.

• M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation
  3 Apr 2020 3 repositories listed
  We compared M2 with different combinations of the factors with 5 state-of-the-art next-basket recommendation methods on 4 public benchmark datasets in recommending the first, second and third next basket.
• Modeling Personalized Item Frequency Information for Next-basket Recommendation
  31 May 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  NBR is in general more complex than the widely studied sequential (session-based) recommendation which recommends the next item based on a sequence of items.
• Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
  10 Jan 2025 1 repository listed
  The evaluation and optimization of beyond-accuracy objectives for NBR, such as item fairness and diversity, has attracted increasing attention.
• SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation
  18 Dec 2024 1 repository listed
  Transformer-based approaches such as BERT4Rec and SASRec demonstrate strong performance in Next Item Recommendation (NIR) tasks.
• Basket-Enhanced Heterogenous Hypergraph for Price-Sensitive Next Basket Recommendation
  18 Sep 2024 1 repository listed
  Next Basket Recommendation (NBR) is a new type of recommender system that predicts combinations of items users are likely to purchase together.
• [RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation
  27 Feb 2024 1 repository listed
  This paper focuses on reproducing and extending the results of the paper: "Modeling Personalized Item Frequency Information for Next-basket Recommendation" which introduced the TIFU-KNN model and proposed to utilize…
• Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping
  2 Aug 2023 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  In next basket recommendation (NBR), it is useful to distinguish between repeat items, i.
• Time-Aware Item Weighting for the Next Basket Recommendations
  30 Jul 2023 1 repository listed
  In addition, we show the results of an ablation study and a case study of a few items.
• Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items
  27 Jan 2022 1 repository listed
  Our results show that our method provides constant update time efficiency with respect to an additional user basket in the incremental case, and linear efficiency in the decremental case where we delete existing baskets.
• A Next Basket Recommendation Reality Check
  29 Sep 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We propose a set of metrics that measure the repeat/explore ratio and performance of NBR models.
• Correlation-Sensitive Next-Basket Recommendation
  10 Aug 2019 1 repository listed
  Items adopted by a user over time are indicative of the underlying preferences.

Syntology lines on 3 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.