简历初筛详情

简历初筛 #538

记录详情

返回列表
请求 ID
1-6a6b428b-15c718-eb22bff7a844
状态
success
创建时间
2026-07-30 20:29:49
提取时间
2026-07-30 12:27:05
ID id
538
请求 ID request_id
1-6a6b428b-15c718-eb22bff7a844
提取时间 extracted_at
2026-07-30 12:27:05
source_bucket source_bucket
langbowei-static
源对象 source_object
parsed/resumes/1-6a6b428b-15c718-eb22bff7a844__widget_1704704635359_0.pdf.parsed.json
对象大小 object_size
9439
event_name event_name
ObjectCreated:PutObject
event_time event_time
2026-07-30T12:27:04.000Z
etag etag
55F1E0A96535F93F9EA34BEB7CC72B26
model model
qwen3.7-plus
文本长度 text_length
5275
jd_text jd_text
招聘岗位:研发 招聘类型:深圳-源政创业大厦 工作地点:3-5年 工作年限:大小周(早9晚9) 适用工作安排:全职 岗位类型:22-30K 期望薪资范围:关于朗伯威LAMBERV 高端视觉传感器供应商 | 国家级高新技术企业 | 清华团队 | 高速成长期企业 朗伯威中国官网:www.lamberv.com 任职要求: 1、统招本科以上学历,3年以上图 招聘紧急程度:2026-07-31 00:00:00 岗位JD: 2 备注说明: 通过
extracted_json extracted_json
JSON
{
    "jd_analysis": {
        "must_requirements": [
            "统招本科以上学历",
            "3年以上相关经验",
            "深圳工作",
            "接受大小周及早9晚9"
        ],
        "preferred_requirements": [
            {
                "requirement": "高端视觉\/图像处理经验",
                "importance": "high"
            }
        ],
        "job_environment": {
            "city": "深圳",
            "work_mode": "大小周,早9晚9",
            "pace": "高速成长期",
            "company_stage": "高速成长期",
            "arrival_requirement": "unknown"
        },
        "salary_range": {
            "min_k": 22,
            "max_k": 30,
            "median_k": 26,
            "source": "explicit"
        }
    },
    "hard_requirements_check": [
        {
            "requirement": "统招本科以上学历",
            "status": "met",
            "evidence": "厦门大学硕士,燕山大学本科,均为全日制统招。"
        },
        {
            "requirement": "3年以上相关经验",
            "status": "met",
            "evidence": "硕士学历折算2年,正式工作约1.9年(2024.08-2026.07),认可工作年限3.9年,满足3年以上要求。"
        },
        {
            "requirement": "核心技能(FPGA\/图像处理)",
            "status": "met",
            "evidence": "简历详细描述了V-by-One、3D LUT、色域转换、PCIE等FPGA及图像处理项目,成果明确。"
        },
        {
            "requirement": "深圳工作",
            "status": "met",
            "evidence": "现居深圳,且上一份工作在深圳。"
        },
        {
            "requirement": "接受大小周及早9晚9",
            "status": "unknown",
            "evidence": "简历未说明是否接受大小周及早9晚9的工作节奏。"
        }
    ],
    "dimensions": [
        {
            "name": "tech_power",
            "raw_score": 98,
            "confidence_level": "high",
            "confidence_coefficient": 1,
            "adjusted_score": 98,
            "base_weight": 0.5,
            "adjusted_weight": 0.909,
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "所有维度从50分开始"
                },
                {
                    "item": "核心技术要求满足",
                    "score_change": 25,
                    "evidence": "充分满足FPGA开发、图像处理(3D LUT、色域校准)及高速接口要求。"
                },
                {
                    "item": "加分技能命中",
                    "score_change": 8,
                    "evidence": "命中高端视觉\/图像处理经验(high加分项)。"
                },
                {
                    "item": "项目和成果证据",
                    "score_change": 15,
                    "evidence": "高度相关的复杂项目(3D LUT、色域压缩等)且有明确结果(色差ΔE<1.0)。"
                }
            ],
            "reason": "候选人具备深厚的FPGA及图像处理开发经验,项目成果显著,技术能力高度匹配。"
        },
        {
            "name": "stability",
            "raw_score": 50,
            "confidence_level": "low",
            "confidence_coefficient": 0,
            "adjusted_score": null,
            "base_weight": 0.2,
            "adjusted_weight": null,
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "所有维度从50分开始"
                }
            ],
            "reason": "仅有一段不足24个月的正式工作经历,稳定性置信度为low,不纳入综合分。"
        },
        {
            "name": "salary_match",
            "raw_score": 50,
            "confidence_level": "low",
            "confidence_coefficient": 0,
            "adjusted_score": null,
            "base_weight": 0.05,
            "adjusted_weight": null,
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "所有维度从50分开始"
                }
            ],
            "reason": "候选人未提供期望薪资,薪资匹配置信度为low,不纳入综合分。"
        },
        {
            "name": "pace_match",
            "raw_score": 60,
            "confidence_level": "low",
            "confidence_coefficient": 0,
            "adjusted_score": null,
            "base_weight": 0.2,
            "adjusted_weight": null,
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "所有维度从50分开始"
                },
                {
                    "item": "地点匹配",
                    "score_change": 10,
                    "evidence": "现居深圳,与岗位城市一致。"
                }
            ],
            "reason": "地点匹配,但未说明是否接受大小周及早9晚9,关键接受意愿未提供,置信度为low。"
        },
        {
            "name": "communication",
            "raw_score": 95,
            "confidence_level": "high",
            "confidence_coefficient": 1,
            "adjusted_score": 95,
            "base_weight": 0.05,
            "adjusted_weight": 0.091,
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "所有维度从50分开始"
                },
                {
                    "item": "模块清晰",
                    "score_change": 10,
                    "evidence": "简历结构清晰,阅读顺序合理。"
                },
                {
                    "item": "字段完整",
                    "score_change": 10,
                    "evidence": "任职时间、职位、公司和项目字段完整。"
                },
                {
                    "item": "背景动作结果",
                    "score_change": 15,
                    "evidence": "项目描述详细,包含背景、个人动作和明确结果(如ΔE<1.0)。"
                },
                {
                    "item": "一致性",
                    "score_change": 10,
                    "evidence": "技能、经历、项目和时间线一致。"
                }
            ],
            "reason": "简历呈现质量高,模块清晰,项目描述详实且有数据支撑。"
        }
    ],
    "information_coverage": 0.55,
    "overall_confidence": 0.55,
    "match_score": 97.7,
    "bonus_items": [
        {
            "dimension": "tech_power",
            "score": 98,
            "confidence": "high",
            "impact": 9,
            "evidence": "技术匹配原始分98,远超80分基准。"
        },
        {
            "dimension": "communication",
            "score": 95,
            "confidence": "high",
            "impact": 0.75,
            "evidence": "简历呈现原始分95,远超80分基准。"
        }
    ],
    "risks": {
        "hard_constraint_risks": [],
        "confirmed_high_risks": [],
        "potential_risks": []
    },
    "missing_information": [
        "候选人仅有一段不足24个月的正式工作经历,稳定性需进一步核实。",
        "候选人未提供期望薪资,需确认薪资预期。",
        "候选人未说明是否接受大小周及早9晚9的工作节奏。",
        "候选人未提供具体到岗时间。"
    ],
    "recommendation": "pending",
    "recommendation_reason": "候选人技术能力高度匹配,简历呈现优秀,但稳定性、薪资期望及工作节奏(大小周\/早9晚9)等关键信息缺失,信息覆盖率仅为0.55,需进一步沟通核实。"
}
composite_score composite_score
0
recommended_action recommended_action
output_key output_key
structured/parsed/resumes/1-6a6b428b-15c718-eb22bff7a844__widget_1704704635359_0.pdf.parsed.json.screening.json
状态 status
success
error_message error_message
无数据
raw_event raw_event
JSON
{
    "events": [
        {
            "eventName": "ObjectCreated:PutObject",
            "eventSource": "acs:oss",
            "eventTime": "2026-07-30T12:27:04.000Z",
            "eventVersion": "1.0",
            "oss": {
                "bucket": {
                    "arn": "acs:oss:cn-hangzhou:1748673497100614:langbowei-static",
                    "name": "langbowei-static",
                    "ownerIdentity": "1748673497100614",
                    "virtualBucket": ""
                },
                "object": {
                    "deltaSize": 9439,
                    "eTag": "55F1E0A96535F93F9EA34BEB7CC72B26",
                    "key": "parsed\/resumes\/1-6a6b428b-15c718-eb22bff7a844__widget_1704704635359_0.pdf.parsed.json",
                    "objectMeta": {
                        "mimeType": "application\/json"
                    },
                    "size": 9439
                },
                "ossSchemaVersion": "1.0",
                "ruleId": "ca5b3a7a3f9032c56d393bfb816e6376962c91d8"
            },
            "region": "cn-hangzhou",
            "requestParameters": {
                "sourceIPAddress": "172.16.0.166"
            },
            "responseElements": {
                "requestId": "6A6B43188342C434326019D1"
            },
            "userIdentity": {
                "principalId": "300891235492433224"
            }
        }
    ]
}
创建时间 created_at
2026-07-30 20:29:49