{"about":{"site":"https://codewithpapers.app","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.","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"},"url":"/paper/190600391","title":"Sequential Scenario-Specific Meta Learner for Online Recommendation","arxiv_id":"1906.00391","date":"2019-06-02","proceeding":null,"authors":["Zhengxiao Du","Xiaowei Wang","Hongxia Yang","Jingren Zhou","Jie Tang"],"abstract":"Cold-start problems are long-standing challenges for practical recommendations. Most existing recommendation algorithms rely on extensive observed data and are brittle to recommendation scenarios with few interactions. This paper addresses such problems using few-shot learning and meta learning. Our approach is based on the insight that having a good generalization from a few examples relies on both a generic model initialization and an effective strategy for adapting this model to newly arising tasks. To accomplish this, we combine the scenario-specific learning with a model-agnostic sequential meta-learning and unify them into an integrated end-to-end framework, namely Scenario-specific Sequential Meta learner (or s^2 meta). By doing so, our meta-learner produces a generic initial model through aggregating contextual information from a variety of prediction tasks while effectively adapting to specific tasks by leveraging learning-to-learn knowledge. Extensive experiments on various real-world datasets demonstrate that our proposed model can achieve significant gains over the state-of-the-arts for cold-start problems in online recommendation. Deployment is at the Guess You Like session, the front page of the Mobile Taobao.","url_abs":"https://arxiv.org/abs/1906.00391v1","url_pdf":"https://arxiv.org/pdf/1906.00391v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"190600391","repo_url":"https://github.com/THUDM/ScenarioMeta","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"few-shot-learning","task_name":"Few-Shot Learning"},{"task_slug":"meta-learning","task_name":"Meta-Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1906.00391","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1906.00391"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/THUDM/ScenarioMeta","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"unverified":9},"by_repo_kind":{"official":{"samples":9,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"28475db193e3577e","entry":"binaryNDCG","repo":"THUDM/ScenarioMeta","repo_kind":"official","path":"src/evaluate.py","file_url":"https://github.com/THUDM/ScenarioMeta/blob/HEAD/src/evaluate.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"28475db193e3577e"}},{"code_sha256_prefix":"408993d25a3f4a59","entry":"divide_support","repo":"THUDM/ScenarioMeta","repo_kind":"official","path":"src/dataset.py","file_url":"https://github.com/THUDM/ScenarioMeta/blob/HEAD/src/dataset.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"408993d25a3f4a59"}},{"code_sha256_prefix":"64c834c8614f221d","entry":"filter_kcore","repo":"THUDM/ScenarioMeta","repo_kind":"official","path":"src/dataset.py","file_url":"https://github.com/THUDM/ScenarioMeta/blob/HEAD/src/dataset.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"64c834c8614f221d"}},{"code_sha256_prefix":"3046101d6972ac13","entry":"list2tensor","repo":"THUDM/ScenarioMeta","repo_kind":"official","path":"src/utils.py","file_url":"https://github.com/THUDM/ScenarioMeta/blob/HEAD/src/utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"3046101d6972ac13"}},{"code_sha256_prefix":"ec1263e33cee1529","entry":"pad_tensor","repo":"THUDM/ScenarioMeta","repo_kind":"official","path":"src/utils.py","file_url":"https://github.com/THUDM/ScenarioMeta/blob/HEAD/src/utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ec1263e33cee1529"}},{"code_sha256_prefix":"d99474e619a4dfc6","entry":"task_preprocess","repo":"THUDM/ScenarioMeta","repo_kind":"official","path":"src/dataset.py","file_url":"https://github.com/THUDM/ScenarioMeta/blob/HEAD/src/dataset.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"d99474e619a4dfc6"}},{"code_sha256_prefix":"244fd712035d4b0f","entry":"topNPrecision","repo":"THUDM/ScenarioMeta","repo_kind":"official","path":"src/evaluate.py","file_url":"https://github.com/THUDM/ScenarioMeta/blob/HEAD/src/evaluate.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"244fd712035d4b0f"}},{"code_sha256_prefix":"e12ebd7aa5db83eb","entry":"topNRecall","repo":"THUDM/ScenarioMeta","repo_kind":"official","path":"src/evaluate.py","file_url":"https://github.com/THUDM/ScenarioMeta/blob/HEAD/src/evaluate.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e12ebd7aa5db83eb"}},{"code_sha256_prefix":"f20422f0da2b9005","entry":"unserialize","repo":"THUDM/ScenarioMeta","repo_kind":"official","path":"src/utils.py","file_url":"https://github.com/THUDM/ScenarioMeta/blob/HEAD/src/utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"f20422f0da2b9005"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}