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} ], "filter_info":{ "black_list":[ "item169", "item5555", "c"
-4657-4192-95d4-31481842470c", "cluster_name": "cloudtable-49b6-res", "table_name": "hotrec-0218-2" } }, "strategy": { "name": "基于特定行为热度推荐",
"blackItemList\":[\"i6\", \"i7\", \"i8\"]}", "topping_sources": ["A", "B"] } 成功响应示例 { "is_success": true, "data": { "trace_id": "a94495c062c6443b87c097427d99232d
状态码 状态码如表1所示 表1 状态码 状态码 编码 错误码说明 100 Continue 继续请求。 这个临时响应用来通知客户端,它的部分请求已经被服务器接收,且仍未被拒绝。 101 Switching Protocols 切换协议。只能切换到更高级的协议。 例如,切换到HTTP
"config_load_path": "<配置源路径>", "computing_resource": "" } } 成功响应示例 { "is_success": true, "job_id": "6b9848b8f2ac4c479855734e354459c1
} } } 成功响应示例 { "is_success": true, "job_id": "cdf49df766f2499586685b08212fd03f", "nearline_uuid": "61496485f0ba4a77b02b4f66f3c11078
", "project_id": "b09d59c4e8724078a5e8efa65049e78f", "type": "B", "driver_memory": "1024M", "driver_cores": 2, "executor_memory
res-developer-test", "status" : 1, "created_at" : "2019-12-12T06:41:26Z", "updated_at" : "2019-12-12T06:41:26Z" }, { "id" : "5d1c5366e616426a88b70f80c1873f18
status" : "INITIALIZED", "created_at" : 1584628346333, "update_at" : 1584628346333, "workspace_id" : "68887f2a855f45e7ab4850ecc7ca28c2
", "job_name": "gggggggggggggggg", "create_time": "1543891781990", "etl_uuid": "a53a685c52f4476f833d256620b6fc80" } 失败响应示例 { "is_success
", "status" : "INITIALIZED", "created_at" : 1584628346333, "update_at" : 0, "workspace_id" : "68887f2a855f45e7ab4850ecc7ca28c2
排序策略-离线排序模型 排序策略简介 排序策略用于训练排序模型,该模型将被用于对召回策略召回的候选集进行排序,以将推荐物品顺序调整到最优。 Logistic Regression (LR) LR算法是一种广义的线性回归分析模型,常用于数据挖掘、疾病自动诊断、经济预测等领域。LR算法通过在线性回归的基础上叠加一个
"status" : "Draft", "next_schedule_time" : 1588873800000, "platform" : "OFFLINE", "workspace_id" : "06a7c49afc00d4972ff1c0113d8c49ba
specifications": [ { "id": "b2bdd588-996a-4021-83a3-15f8bcafc814", "display_zh": "2核|8GiB", "display_en": "2core|8GB", "specification": "c2
} }], "blacklist": "<黑名单存储路径>", "whitelist": "<白名单存储路径>" } } 成功响应示例 { "is_success": true, "job_id": "242040859dd4422d818efe7c297f1b66
1f0affe98a7844ca920f47a2b7e7abae", "status" : "PRE_START", "created_at" : 0, "update_at" : 0, "workspace_id" : "68887f2a855f45e7ab4850ecc7ca28c2
排序策略 排序策略简介 排序策略用于训练排序模型,该模型将被用于对召回策略召回的候选集进行排序,以将推荐物品顺序调整到最优。排序模型可对LR、FM、FFM、DeepFM和PIN等模型进行训练,具体包括如下内容: 逻辑斯蒂回归-LR 因子分解机-FM 域感知因子分解机-FFM 深度网络因子分解机
07f125793ba7497d887cb112dc917e87", "user_id": "07f125793ba7497d887cb112dc917e87", "scene_id": "51192cc3cecc4bcd854a6c40dc7941db
示例 成功响应示例 { "is_success": true, "services": [ { "service_id": "84746641-9af3-4fa6-b6ed-850e1f63416c", "service_name": "res-model-vpc2
"escape": "\\" } } ], "strategy_id": 0 }, "job_id": "1e9bf244ebdc41f0b5ee5c1dd0fa07c3