Applications · Matching

Person-Job Matching

Big-data ML screens candidates for each role automatically and precisely — upgrading matching from keywords to semantic understanding.

api.xiaoxizn.com/v1/recommender
job_req_backend.json
POST
解析 · parse
200 OK62 ms
{
"candidate": "张伟",
"score": 98,
"matched_on": ["技能","年限","行业"],
"rank": 1,
… + fields
}
Capabilities

Bring the right person to every role.

Instant matching

Tens of thousands of resumes matched per second.

Semantic precision

Top models grasp hiring intent.

Broad coverage

800+ roles, 10000+ skills.

Multi-dim scoring

Fit scored across 24 dimensions.

Reliable results

90%+ recruiter satisfaction.

Easy to integrate

A few lines of code drive your existing ATS.

Why

Why matching reaches the semantic level.

Top deep-learning models perform semantic analysis on job descriptions with long-text understanding, in a multi-model reranking framework backed by leading resume parsing.

Read the guide
How it works

One call for a ranked shortlist.

Pass a job title and description, get a scored candidate shortlist. Python, JavaScript, Ruby, cURL.

POST api.xiaoxizn.com/v1/recommender
PythonJavaScriptRubycURL
match.py
url = "http://api.xiaoxizn.com/v1/recommender" headers = {'id': 'your_client_id', 'secret': 'your_client_secret'} json = {'job_title': title, 'job_desc': desc} result = requests.post(url, json=json, headers=headers)
In depth

The right people, ranked first.

张伟在线
高级后端工程师 · 深圳 · 6 年经验 · 期望 40–55K
GoKubernetes微服务
98综合匹配
技能匹配
100
经验匹配
96
行业匹配
92
学历匹配
88
地点匹配
85
技能与岗位要求高度契合,6 年经验超出「3 年以上」要求
01

24-dimension fit

Degree, years, skills, industry, city, stability — 24 dimensions together compute person-job fit.

24 scoring dimensions
Semantic understanding
90%+ satisfaction
shortlist1,240 → 12
1
张伟
高级后端工程师
98
2
李娜
后端工程师
94
3
王敏
云原生工程师
89
02

Semantic analysis + reranking

Long-text semantic analysis grasps a role’s true needs; a multi-model reranking framework surfaces the best fit first.

Long-text understanding
Multi-model reranking
Tens of thousands/sec
semantic_vectorscosine θ
job_vector · 高级后端工程师
↕ cos θ = 0.98
candidate_vector · 张伟
03

Into your hiring flow

Matching results plug into your ATS, HR SaaS and job platforms — recommendations flow straight into interviews.

ATS / job platforms
Straight to interview
RESTful API
Security

Security comes first.

01
Alibaba Cloud security

Infrastructure and data services run on Alibaba Cloud — physical-machine encryption, vulnerability scanning and web-attack defense.

02
Bank-grade encryption

All traffic is encrypted with 256-bit SSL/HTTPS certificates, so nothing is leaked or tampered with in transit.

03
Automated deletion

Private data uploaded to our servers is auto-deleted on a daily schedule, minimizing unforeseen data risk.

04
Randomized encryption

A randomized algorithm encrypts every resume during upload and parsing — even our own staff cannot read the plaintext.

Delivery

Instant on SaaS. Secure on private cloud.

One platform, two ways to ship.

SaaS

Plug & play

Hosted on Xiaoxi servers and used via remote API calls — zero ops, elastic scaling, 1000+ concurrent requests.

  • Zero-ops setup
  • Elastic scaling
  • 1000+ concurrency

Private cloud

Compliance

Deployed on your own servers — on-prem or your cloud — so data never leaves your network.

  • Data stays in-network
  • On-prem or cloud
  • High compliance

Bring this capability into your stack.

Try it live for free, or request a trial to connect it to your systems.