简历初筛详情

简历初筛 #539

记录详情

返回列表
请求 ID
1-6a6b428f-15f3dc-3bfc0294423f
状态
success
创建时间
2026-07-30 20:29:54
提取时间
2026-07-30 12:27:04
ID id
539
请求 ID request_id
1-6a6b428f-15f3dc-3bfc0294423f
提取时间 extracted_at
2026-07-30 12:27:04
source_bucket source_bucket
langbowei-static
源对象 source_object
parsed/resumes/1-6a6b428f-15f3dc-3bfc0294423f__widget_1704704635359_0.pdf.parsed.json
对象大小 object_size
8077
event_name event_name
ObjectCreated:PutObject
event_time event_time
2026-07-30T12:27:02.000Z
etag etag
628E853762364D9205114186E2864B1D
model model
qwen3.7-plus
文本长度 text_length
4131
jd_text jd_text
招聘岗位:研发 招聘类型:苏州-展业大厦 工作地点:不限 工作年限:大小周(早9晚9) 适用工作安排:全职 岗位类型:8-9K 期望薪资范围:我们正在寻找一位动手能力强、视野开阔的光学应用工程师,加入机器视觉团队。你将负责工业视觉项目中标准光源、镜头、相机以及前沿计算成像系统的选型测试与成像验证,通过系统的打光实验和效果比对,为每一个检测需 招聘紧急程度:2026-07-31 00:00:00 岗位JD: 1 筛选标准: 强制光学相关专业背景(本科专业为物理学、光电信息科学与工程、电子信息、光学工程,硕士为光学工程、电子信息),注意具体实践项目方向应为几何光学,成像光学。不接受激光类、工程光学、光电通信等。 备注说明: 通过
extracted_json extracted_json
JSON
{
    "jd_analysis": {
        "must_requirements": [
            "光学相关专业背景(本科:物理学、光电信息科学与工程、电子信息、光学工程)",
            "实践项目方向为几何光学、成像光学",
            "不接受激光类、工程光学、光电通信等"
        ],
        "preferred_requirements": [],
        "job_environment": {
            "city": "苏州",
            "work_mode": "全职",
            "pace": "大小周(早9晚9)",
            "company_stage": "unknown",
            "arrival_requirement": "unknown"
        },
        "salary_range": {
            "min_k": 8,
            "max_k": 9,
            "median_k": 8.5,
            "source": "explicit"
        }
    },
    "hard_requirements_check": [
        {
            "requirement": "光学相关专业背景(本科:物理学、光电信息科学与工程、电子信息、光学工程)",
            "status": "unknown",
            "evidence": "候选人教育经历为河南牧业经济学院本科,但简历中未写明具体专业,无法确认是否属于强制要求的专业范围。"
        },
        {
            "requirement": "实践项目方向为几何光学、成像光学",
            "status": "unknown",
            "evidence": "候选人项目经验主要集中在机器视觉算法、AI缺陷检测及系统集成,虽有光源调试经验,但未明确提及几何光学或成像光学方向,无法确认是否满足。"
        },
        {
            "requirement": "不接受激光类、工程光学、光电通信等",
            "status": "unknown",
            "evidence": "简历未提及激光类、工程光学或光电通信相关经历,但也未明确声明不涉及,无法直接确认。"
        }
    ],
    "dimensions": [
        {
            "name": "tech_power",
            "raw_score": 65,
            "confidence_level": "medium",
            "confidence_coefficient": 0.8,
            "adjusted_score": 62,
            "base_weight": 0.5,
            "adjusted_weight": 0.9,
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "所有维度从50分开始"
                },
                {
                    "item": "相机与光源选型及打光实验经验",
                    "score_change": 10,
                    "evidence": "工作经历中参与相机与光源选型,TWS耳机项目中调试光源距离与角度获取清晰图像,部分满足光学应用要求。"
                },
                {
                    "item": "机器视觉算法与系统集成相关经验",
                    "score_change": 5,
                    "evidence": "多个项目涉及工业相机SDK、视觉检测与PLC通讯,与光学应用有交叉,具备相关项目落地经验。"
                },
                {
                    "item": "专业背景及光学理论基础",
                    "score_change": 0,
                    "evidence": "专业背景未知,无法确认是否具备系统的几何\/成像光学理论基础,不加分但降低置信度。"
                }
            ],
            "reason": "JD要求具备光学相关专业背景及几何\/成像光学项目方向,负责光源、镜头选型与打光实验。候选人具备丰富的机器视觉算法与系统集成经验,有实际的光源调试和相机选型实践,但专业背景未写明,光学理论深度主要依赖推断,故置信度为medium。"
        },
        {
            "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": "JD未明确稳定性要求。候选人仅有一段正式工作经历(2024.10至今,约21个月),任职不超过24个月且无其他历史正式工作记录,信息不足以可靠判断稳定性,置信度为low。"
        },
        {
            "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": "JD明确薪资范围为8-9K,但候选人简历中未提供期望薪资,信息缺失,无法评估匹配度,置信度为low。"
        },
        {
            "name": "pace_match",
            "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": "JD要求工作地点为苏州,工作节奏为大小周(早9晚9)。候选人未说明当前所在地,也未表明对地点、工作节奏及到岗时间的接受意愿,关键信息缺失,置信度为low。"
        },
        {
            "name": "communication",
            "raw_score": 85,
            "confidence_level": "high",
            "confidence_coefficient": 1,
            "adjusted_score": 85,
            "base_weight": 0.05,
            "adjusted_weight": 0.1,
            "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、阅读顺序合理",
                    "score_change": 10,
                    "evidence": "简历包含教育、技能、工作、项目等模块,结构清晰。"
                },
                {
                    "item": "任职时间、职位、公司和项目字段完整",
                    "score_change": 10,
                    "evidence": "各段经历的时间、公司、职位及项目描述字段完整。"
                },
                {
                    "item": "能说明背景、个人动作和结果",
                    "score_change": 15,
                    "evidence": "项目经历中清晰描述了项目痛点、个人职责(如调用SDK、调试光源、算法训练)及量化成果(如mAP达0.85,漏检率<0.5%)。"
                }
            ],
            "reason": "此项评估简历文本呈现质量。候选人简历模块清晰,字段完整,项目描述遵循STAR法则,能清晰说明背景、个人动作和量化结果,信息呈现质量高。"
        }
    ],
    "information_coverage": 0.55,
    "overall_confidence": 0.45,
    "match_score": 64.1,
    "bonus_items": [
        {
            "dimension": "communication",
            "score": 85,
            "confidence": "high",
            "impact": 0.25,
            "evidence": "简历模块清晰,字段完整,能清晰说明项目背景、个人动作和量化结果,呈现质量高。"
        }
    ],
    "risks": {
        "hard_constraint_risks": [],
        "confirmed_high_risks": [],
        "potential_risks": [
            "核心硬性要求存在部分相关证据,但尚不足以确认完全满足:强制要求光学相关专业背景及几何\/成像光学项目方向,候选人专业未写明,项目偏向机器视觉算法与系统集成,虽有光源调试经验但无法确认是否满足强制筛选标准。"
        ]
    },
    "missing_information": [
        "候选人具体专业背景(是否属于强制要求的光学相关专业)",
        "候选人期望薪资",
        "候选人对工作地点(苏州)的接受意愿",
        "候选人对工作节奏(大小周、早9晚9)的接受意愿",
        "候选人到岗时间"
    ],
    "recommendation": "pending",
    "recommendation_reason": "insufficient_evidence"
}
composite_score composite_score
0
recommended_action recommended_action
output_key output_key
structured/parsed/resumes/1-6a6b428f-15f3dc-3bfc0294423f__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": "2026-07-30T12:27:02.000Z",
            "eventVersion": "1.0",
            "oss": {
                "bucket": {
                    "arn": "acs:oss:cn-hangzhou:1748673497100614:langbowei-static",
                    "name": "langbowei-static",
                    "ownerIdentity": "1748673497100614",
                    "virtualBucket": ""
                },
                "object": {
                    "deltaSize": 8077,
                    "eTag": "628E853762364D9205114186E2864B1D",
                    "key": "parsed\/resumes\/1-6a6b428f-15f3dc-3bfc0294423f__widget_1704704635359_0.pdf.parsed.json",
                    "objectMeta": {
                        "mimeType": "application\/json"
                    },
                    "size": 8077
                },
                "ossSchemaVersion": "1.0",
                "ruleId": "ca5b3a7a3f9032c56d393bfb816e6376962c91d8"
            },
            "region": "cn-hangzhou",
            "requestParameters": {
                "sourceIPAddress": "172.16.0.167"
            },
            "responseElements": {
                "requestId": "6A6B4316D74E5E3236F14A1C"
            },
            "userIdentity": {
                "principalId": "300891235492433224"
            }
        }
    ]
}
创建时间 created_at
2026-07-30 20:29:54