{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/session-based-recommendations/papers/2","list_of":"/task/session-based-recommendations","task":"Session-Based Recommendations","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":2,"rows_per_page":100,"rows":[101,172],"of":172,"counts":{"archive_papers_tagged":172,"with_a_code_link":84,"where_syntology_ran_a_sample":20,"not_listed_spam_title":0,"listed":172,"listed_where_code_ran":20,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":16,"every_run_a_failure_of_syntologys_instrument":4,"listed_with_a_run_with_no_instrument_failure":16,"listed_every_run_a_failure_of_syntologys_instrument":4,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/session-based-recommendations","prev":"/task/session-based-recommendations","next":null,"papers":[{"url":null,"slug":"performance-comparison-of-session-based","title":"Performance Comparison of Session-based Recommendation Algorithms based on GNNs","date":"2023-12-27","arxiv_id":"2312.16695","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-popularity-bias-in-session-based","title":"Exploring Popularity Bias in Session-based Recommendation","date":"2023-12-13","arxiv_id":"2312.07855","repositories_listed":0,"syntology":null},{"url":null,"slug":"session-based-recommendation-by-exploiting","title":"Session-Based Recommendation by Exploiting Substitutable and Complementary Relationships from Multi-behavior Data","date":"2023-12-13","arxiv_id":"2312.14957","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-multi-level-graph-neural-networks","title":"Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation","date":"2023-11-06","arxiv_id":"2311.02938","repositories_listed":0,"syntology":null},{"url":null,"slug":"tempgnn-temporal-graph-neural-networks-for","title":"TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations","date":"2023-10-20","arxiv_id":"2310.13249","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-multi-task-learning-framework-1","title":"Hierarchical Multi-Task Learning Framework for Session-based Recommendations","date":"2023-09-12","arxiv_id":"2309.06533","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-enhanced-session-based","title":"Language-Enhanced Session-Based Recommendation with Decoupled Contrastive Learning","date":"2023-07-20","arxiv_id":"2307.10650","repositories_listed":0,"syntology":null},{"url":null,"slug":"mining-interest-trends-and-adaptively","title":"Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation","date":"2023-06-20","arxiv_id":"2306.11610","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-similarity-among-users-for","title":"Learning Similarity among Users for Personalized Session-Based Recommendation from hierarchical structure of User-Session-Item","date":"2023-06-05","arxiv_id":"2306.03040","repositories_listed":0,"syntology":null},{"url":null,"slug":"discreetly-exploiting-inter-session","title":"Discreetly Exploiting Inter-session Information for Session-based Recommendation","date":"2023-04-18","arxiv_id":"2304.08894","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-ganularity-contrastive-learning-for","title":"Dual-Granularity Contrastive Learning for Session-based Recommendation","date":"2023-04-18","arxiv_id":"2304.08873","repositories_listed":0,"syntology":null},{"url":null,"slug":"simcgnn-simple-contrastive-graph-neural","title":"SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation","date":"2023-02-08","arxiv_id":"2302.03997","repositories_listed":0,"syntology":null},{"url":null,"slug":"recommender-systems-a-primer","title":"Recommender Systems: A Primer","date":"2023-02-06","arxiv_id":"2302.02579","repositories_listed":0,"syntology":null},{"url":null,"slug":"time-aware-hyperbolic-graph-attention-network","title":"Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation","date":"2023-01-10","arxiv_id":"2301.03780","repositories_listed":0,"syntology":null},{"url":null,"slug":"m2trec-metadata-aware-multi-task-transformer","title":"M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations","date":"2022-09-23","arxiv_id":"2209.11824","repositories_listed":0,"syntology":null},{"url":null,"slug":"sr-gcl-session-based-recommendation-with","title":"SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning","date":"2022-09-22","arxiv_id":"2209.10807","repositories_listed":0,"syntology":null},{"url":null,"slug":"prospective-preference-enhanced-mixed","title":"Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation","date":"2022-06-04","arxiv_id":"2206.01875","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-user-s-local-context-to-support-local","title":"Using user's local context to support local news","date":"2022-05-24","arxiv_id":"2205.12408","repositories_listed":0,"syntology":null},{"url":null,"slug":"heterogeneous-graph-neural-network-for-1","title":"Heterogeneous Graph Neural Network for Personalized Session-Based Recommendation with User-Session Constraints","date":"2022-05-23","arxiv_id":"2205.11343","repositories_listed":0,"syntology":null},{"url":null,"slug":"sequential-session-based-recommendations","title":"Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities","date":"2022-05-22","arxiv_id":"2205.10759","repositories_listed":0,"syntology":null},{"url":null,"slug":"effectively-using-long-and-short-sessions-for","title":"Effectively Using Long and Short Sessions for Multi-Session-based Recommendations","date":"2022-05-09","arxiv_id":"2205.04366","repositories_listed":0,"syntology":null},{"url":null,"slug":"micro-behavior-encoding-for-session-based","title":"Micro-Behavior Encoding for Session-based Recommendation","date":"2022-04-05","arxiv_id":"2204.02002","repositories_listed":0,"syntology":null},{"url":null,"slug":"g-3-sr-global-graph-guided-session-based","title":"G$^3$SR: Global Graph Guided Session-based Recommendation","date":"2022-03-12","arxiv_id":"2203.06467","repositories_listed":0,"syntology":null},{"url":null,"slug":"transition-relation-aware-self-attention-for","title":"Transition Relation Aware Self-Attention for Session-based Recommendation","date":"2022-03-12","arxiv_id":"2203.06407","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-spring-network-and-informative-anchor","title":"Graph Spring Network and Informative Anchor Selection for Session-based Recommendation","date":"2022-02-19","arxiv_id":"2202.09502","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-adjacent-dependency-in-session","title":"Modeling Complex Dependencies for Session-based Recommendations via Graph Neural Networks","date":"2022-01-29","arxiv_id":"2201.12532","repositories_listed":0,"syntology":null},{"url":null,"slug":"causality-and-correlation-graph-modeling-for","title":"Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation","date":"2022-01-26","arxiv_id":"2201.10782","repositories_listed":0,"syntology":null},{"url":null,"slug":"temporal-aware-multi-interest-graph-neural","title":"Temporal aware Multi-Interest Graph Neural Network For Session-based Recommendation","date":"2021-12-31","arxiv_id":"2112.15328","repositories_listed":0,"syntology":null},{"url":null,"slug":"session-based-recommendation-with-hypergraph","title":"Session-based Recommendation with Hypergraph Attention Networks","date":"2021-12-28","arxiv_id":"2112.14266","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-enhanced-session-based","title":"Knowledge-enhanced Session-based Recommendation with Temporal Transformer","date":"2021-12-16","arxiv_id":"2112.08745","repositories_listed":0,"syntology":null},{"url":null,"slug":"long-tail-session-based-recommendation-from","title":"Long-Tail Session-based Recommendation from Calibration","date":"2021-12-05","arxiv_id":"2112.02581","repositories_listed":0,"syntology":null},{"url":null,"slug":"choosing-the-best-of-both-worlds-diverse-and","title":"Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning","date":"2021-10-28","arxiv_id":"2110.15097","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-behavior-graph-contextual-aware-network","title":"Multi-behavior Graph Contextual Aware Network for Session-based Recommendation","date":"2021-09-24","arxiv_id":"2109.11903","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-models-as-recommender-systems","title":"Language Models as Recommender Systems: Evaluations and Limitations","date":"2021-09-22","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"session-based-recommendation-with","title":"SR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural Network","date":"2021-08-12","arxiv_id":"2108.05641","repositories_listed":0,"syntology":null},{"url":"/paper/transformers-with-multi-modal-features-and","slug":"transformers-with-multi-modal-features-and","title":"Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation","date":"2021-07-11","arxiv_id":"2107.05124","repositories_listed":0,"syntology":null},{"url":null,"slug":"hcgr-hyperbolic-contrastive-graph","title":"HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation","date":"2021-07-06","arxiv_id":"2107.05366","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-cross-session-information-for","title":"Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks","date":"2021-07-02","arxiv_id":"2107.00852","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-positional-information-for-session","title":"Exploiting Positional Information for Session-based Recommendation","date":"2021-07-02","arxiv_id":"2107.00846","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-graph-based-method-for-session-based","title":"A Graph-based Method for Session-based Recommendations","date":"2021-06-22","arxiv_id":"2106.12085","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-long-term-metrics-in-recommendation","title":"Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning","date":"2021-06-01","arxiv_id":"2106.00589","repositories_listed":0,"syntology":null},{"url":null,"slug":"dagnn-demand-aware-graph-neural-networks-for","title":"DAGNN: Demand-aware Graph Neural Networks for Session-based Recommendation","date":"2021-05-30","arxiv_id":"2105.14428","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-short-term-interest-first-model","title":"Context-aware short-term interest first model for session-based recommendation","date":"2021-03-29","arxiv_id":"2103.15514","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledgecheckr-intelligent-techniques-for","title":"KnowledgeCheckR: Intelligent Techniques for Counteracting Forgetting","date":"2021-02-15","arxiv_id":"2102.07825","repositories_listed":0,"syntology":null},{"url":null,"slug":"batch-constrained-distributional","title":"Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation","date":"2020-12-16","arxiv_id":"2012.08984","repositories_listed":0,"syntology":null},{"url":null,"slug":"session-based-k-nns-with-semantic-suggestions","title":"Session-based k-NNs with Semantic Suggestions for Next-item Prediction","date":"2020-12-16","arxiv_id":"2012.08793","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-repeated-behavior-pattern-and-long","title":"Exploiting Group-level Behavior Pattern forSession-based Recommendation","date":"2020-12-10","arxiv_id":"2012.05422","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-global-information-for-session","title":"Exploring Global Information for Session-based Recommendation","date":"2020-11-20","arxiv_id":"2011.10173","repositories_listed":0,"syntology":null},{"url":"/paper/star-graph-neural-networks-for-session-based","slug":"star-graph-neural-networks-for-session-based","title":"Star Graph Neural Networks for Session-based Recommendation","date":"2020-10-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"many-to-one-recurrent-neural-network-for","title":"Many-to-one Recurrent Neural Network for Session-based Recommendation","date":"2020-08-25","arxiv_id":"2008.11136","repositories_listed":0,"syntology":null},{"url":null,"slug":"uber-gnn-a-user-based-embeddings","title":"UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks","date":"2020-08-06","arxiv_id":"2008.02546","repositories_listed":0,"syntology":null},{"url":null,"slug":"long-tail-session-based-recommendation","title":"Long-tail Session-based Recommendation","date":"2020-07-24","arxiv_id":"2007.12329","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-long-term-and-short-term-interests","title":"Modeling Long-Term and Short-Term Interests with Parallel Attentions for Session-based Recommendation","date":"2020-06-27","arxiv_id":"2006.15346","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-item-importance-in-session-based","title":"Rethinking Item Importance in Session-based Recommendation","date":"2020-05-09","arxiv_id":"2005.04456","repositories_listed":0,"syntology":null},{"url":null,"slug":"memory-augmented-neural-model-for-incremental","title":"Memory Augmented Neural Model for Incremental Session-based Recommendation","date":"2020-04-28","arxiv_id":"2005.01573","repositories_listed":0,"syntology":null},{"url":null,"slug":"balancing-multi-level-interactions-for","title":"Balancing Multi-level Interactions for Session-based Recommendation","date":"2019-10-29","arxiv_id":"1910.13527","repositories_listed":0,"syntology":null},{"url":null,"slug":"neighborhood-enhanced-and-time-aware-model","title":"Neighborhood-Enhanced and Time-Aware Model for Session-based Recommendation","date":"2019-09-25","arxiv_id":"1909.11252","repositories_listed":0,"syntology":null},{"url":null,"slug":"matrix-embedding-method-in-match-for-session","title":"Matrix embedding method in match for session-based recommendation","date":"2019-08-27","arxiv_id":"1908.10180","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-stage-session-based-recommendations-with","title":"Two-Stage Session-based Recommendations with Candidate Rank Embeddings","date":"2019-08-22","arxiv_id":"1908.08284","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-the-past-and-future-contexts-for","title":"Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation","date":"2019-06-11","arxiv_id":"1906.04473","repositories_listed":0,"syntology":null},{"url":null,"slug":"purchase-as-reward-session-based","title":"Purchase as Reward : Session-based Recommendation by Imagination Reconstruction","date":"2019-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-variable-session-based-recommendation","title":"Latent Variable Session-Based Recommendation","date":"2019-04-24","arxiv_id":"1904.10784","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-temporal-convolutional-networks","title":"Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems","date":"2019-04-08","arxiv_id":"1904.04381","repositories_listed":0,"syntology":null},{"url":null,"slug":"session-based-sequential-skip-prediction-via","title":"Session-based Sequential Skip Prediction via Recurrent Neural Networks","date":"2019-02-13","arxiv_id":"1902.04743","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-from-history-and-present-next-item","title":"Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors","date":"2018-08-03","arxiv_id":"1808.01075","repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-neural-networks-for-long-and-short","title":"Recurrent Neural Networks for Long and Short-Term Sequential Recommendation","date":"2018-07-23","arxiv_id":"1807.09142","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-adjustable-heat-conduction-based-knn","title":"An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation","date":"2018-07-16","arxiv_id":"1807.05739","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmenting-recurrent-neural-networks-with","title":"Augmenting Recurrent Neural Networks with High-Order User-Contextual Preference for Session-Based Recommendation","date":"2018-05-08","arxiv_id":"1805.02983","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-recurrent-neural-networks-meet-the","title":"When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-latent-variable-networks-for","title":"Recurrent Latent Variable Networks for Session-Based Recommendation","date":"2017-06-13","arxiv_id":"1706.04026","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-methods-for-multimedia","title":"Machine learning methods for multimedia information retrieval","date":"2017-05-14","arxiv_id":"1705.04964","repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-recurrent-neural-networks-for","title":"Improved Recurrent Neural Networks for Session-based Recommendations","date":"2016-06-27","arxiv_id":"1606.08117","repositories_listed":0,"syntology":null}],"record_sha256":"54dc414fb2c7214be435f4f47b5aee2bafc7718c62a4a432943f6ea71c216150","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}