//根据简历对象获得最合适的前五个岗位
public List <Recommend> GetMatchingResultsByResume(Resume resume, List <Post> posts)
{
matchingResults.Clear();
//获得post的需要测试的所有tf idf
var resumeMap = GetResumeTf_Idf(resume);
foreach (var post in posts)
{
var result = getMatchingResultByResume(post, resumeMap);
matchingResults.Add(result);
}
var i = 0;
matchingResults.Sort((r1, r2) => r2.RecommendNumber.CompareTo(r1.RecommendNumber));
var relayResults = new List <Recommend>();
foreach (var result in matchingResults)
{
i++;
if (i > 5)
{
break;
}
result.ResumeId = resume.resumeId;
relayResults.Add(result);
}
return(relayResults);
}
//获得一个岗位和一个简历的匹配程度
private Recommend getMatchingResultByPost(Resume resume, Dictionary <string, IEnumerable <WordWeightPair> > post)
{
var recommend = new Recommend();
if (resume == null || post == null)
{
return(recommend);
}
//获得地点是否匹配
var addr = Similarity(resume.familyAddress + resume.resumeWorkPlace, post["addr"]);
addr = addr > 0 ? addr : 0;
// Console.Write("1");
// 获得职位是否匹配
var job = Similarity(resume.resumePostName, post["PostName"]);
job = job > 0 ? job : 0;
// Console.Write("2");
//获得工作年限匹配
var exTime = Similarity(resume.workYear, post["PostExperience"]);
exTime = exTime > 0 ? exTime : 0;
// Console.Write("3");
//获得岗位职责和个人信息匹配度
var info = Similarity(resume.resumeExperience, post["PostDescription"]);
info = info > 0 ? info : 0;
// Console.Write("4");
//技能匹配度
var skill = Similarity(resume.skill, post["PostDescription"]);
skill = skill > 0 ? skill : 0;
// Console.Write("5");
//学历匹配度
var academic = Similarity(resume.academic, post["AcademicRequirements"]);
academic = academic > 0 ? academic : 0;
// Console.Write("6");
//最终匹配结果
var result = addr + exTime + academic + job * 2 + info * 2 + skill * 3.5;
recommend.ResumeId = resume.resumeId;
recommend.RecommendNumber = result;
return(recommend);
}
//获得resume的需要测试的所有tf——idf
private Dictionary <string, IEnumerable <WordWeightPair> > GetResumeTf_Idf(Resume resume)
{
var map = new Dictionary <string, IEnumerable <WordWeightPair> >();
//获得地点
map["addr"] = extractor.ExtractTagsWithWeight(resume.familyAddress + resume.resumeWorkPlace, 200);
//获得职位
map["resumePostName"] = extractor.ExtractTagsWithWeight(resume.resumePostName, 200);
//获得工作年限
map["workYear"] = extractor.ExtractTagsWithWeight(resume.workYear, 200);
//获得岗位职责和个人信息
map["resumeExperience"] = extractor.ExtractTagsWithWeight(resume.resumeExperience, 200);
//技能
map["skill"] = extractor.ExtractTagsWithWeight(resume.skill, 200);
//学历
map["academic"] = extractor.ExtractTagsWithWeight(resume.academic, 200);
return(map);
}
public ActionResult <string> Post([FromBody] Resume input)
{
if (!ModelState.IsValid)
{
return(BadRequest());
}
DataSet allPosts = productRepository.GetPosts();
list = DataSetToList <Post>(allPosts, 0);
//DataSet allResumes = productRepository.GetResumes();
//lists = DataSetToList<Resume>(allResumes, 0);
// foreach (var resume in lists)
// {
// finalResult = calculate.GetMatchingResultsByResume(resume, list);
// Console.WriteLine("简历信息：期望职位名：{0},期望薪资：{1},工作经验年限：{2}，技能：{3}", resume.resumePostName,
//resume.resumeSalary,
//resume.workYear, resume.skill);
// foreach (var recommend in finalResult)
// {
// var post = _iPostService.GetById(recommend.PostId);
// Console.WriteLine("职位信息：职位名：{0},薪资：{1},工作经验年限要求：{2}，职位描述：{3}", post.PostName, post.PostSalary,
// post.PostExperience, post.PostDescription);
// Console.WriteLine("----------------");
// }
// }
//foreach (var post in list)
//{
// finalResult = calculate.GetMatchingResultsByPost(lists, post);
// Console.WriteLine("职位信息：职位名：{0},薪资：{1},工作经验年限要求：{2}，职位描述：{3}", post.PostName, post.PostSalary,
// post.PostExperience, post.PostDescription);
// foreach (var recommend in finalResult)
// {
// Console.WriteLine("----------------");
// var resume = _resumeService.GetById(recommend.ResumeId);
// Console.WriteLine("简历信息：期望职位名：{0},期望薪资：{1},工作经验年限：{2}，技能：{3}", resume.ResumePostName,
// resume.ResumeSalary,
// resume.WorkYear, resume.Skill);
// }
//}
finalResult = calculate.GetMatchingResultsByResume(input, list);
foreach (var recommend in finalResult)
{
Recommend recommends = new Recommend
{
ResumeId = recommend.ResumeId,
PostId = recommend.PostId,
CompanyId = recommend.CompanyId,
RecommendNumber = recommend.RecommendNumber
};
_iRecommendService.Create(recommends, recommends.PostId, recommends.ResumeId);
}
return(Output("ok", 5));
}
