{"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":"/code/build-input-features","entry":"build_input_features","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":5,"n_papers_ran":0,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":2,"n_samples_ran":0,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":2},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2212.02779","paper":"/paper/prefrec-preference-based-recommender-systems","title":"PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement","date":"2022-12-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"chongminggao/easyrl4rec","path":"src/DeepCTR-Torch/deepctr_torch/inputs.py","file_url":"https://github.com/chongminggao/easyrl4rec/blob/HEAD/src/DeepCTR-Torch/deepctr_torch/inputs.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2fb349ac030ba393","mcp_get_code":{"code_sha256":"2fb349ac030ba393"}},{"arxiv_id":"2008.13535","paper":"/paper/dcn-m-improved-deep-cross-network-for-feature","title":"DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems","date":"2020-08-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shenweichen/DeepCTR-Torch","path":"deepctr_torch/inputs.py","file_url":"https://github.com/shenweichen/DeepCTR-Torch/blob/HEAD/deepctr_torch/inputs.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"2fb349ac030ba393","mcp_get_code":{"code_sha256":"2fb349ac030ba393"}},{"arxiv_id":"1905.06482","paper":"/paper/deep-session-interest-network-for-click","title":"Deep Session Interest Network for Click-Through Rate Prediction","date":"2019-05-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shenweichen/DeepCTR-PyTorch","path":"deepctr_torch/inputs.py","file_url":"https://github.com/shenweichen/DeepCTR-PyTorch/blob/HEAD/deepctr_torch/inputs.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"2fb349ac030ba393","mcp_get_code":{"code_sha256":"2fb349ac030ba393"}},{"arxiv_id":"1703.04247","paper":"/paper/deepfm-a-factorization-machine-based-neural","title":"DeepFM: A Factorization-Machine based Neural Network for CTR Prediction","date":"2017-03-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"baiyimeng/umc","path":"models/inputs.py","file_url":"https://github.com/baiyimeng/umc/blob/HEAD/models/inputs.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2fb349ac030ba393","mcp_get_code":{"code_sha256":"2fb349ac030ba393"}},{"arxiv_id":"aaai_26347","paper":null,"title":"arXiv:aaai_26347","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"bytedance/LargeBatchCTR","path":"deepctr/feature_column.py","file_url":"https://github.com/bytedance/LargeBatchCTR/blob/HEAD/deepctr/feature_column.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"3dd1cf2fadfa9f57","mcp_get_code":{"code_sha256":"3dd1cf2fadfa9f57"}}]}