{"m1":["resume_head","resume_name","resume_base_info"],"m2":[],"m3":["resume_job","resume_edu","resume_work","resume_skill","resume_hobby","6e545095-e6a2-4719-8cd7-bc30271f7962","faef9af1-9de9-49a1-b621-5332dd939478","resume_summary","resume_honor","resume_internship","resume_project","resume_portfolio"],"m4":[]}
.resume_main[data_color] .skill_item .skill_slider span::before{background-color:${color};}
.resume_main[data_color] .skill_slider s i{background-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_01.skill_item .skill_slider s {border-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_01.skill_item .skill_slider s i{background-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="average"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="average"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 #ccc, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="good"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="good"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="advanced"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="advanced"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="expert"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="expert"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 ${relative_skill_color}, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="average"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 #ccc,63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="good"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="advanced"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="expert"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 ${relative_skill_color},81px 0 0 #ccc;}
.resume_main[data_color] .hobby_item .hobby_item_con .hobby_item_list a.alifont{border-color:${relative_hobby_color};color:${relative_hobby_color}; }
/* ?????? */
.resume_main[data_color] .resume_cover .cover_html svg [data-svg="fill"] {fill:${color};}
.resume_main[data_color] .resume_cover .cover_html svg [data-svg="stroke"] {stroke:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-svg="fill"] {fill:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-svg="stroke"] {stroke:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-fill="fill"] {fill:${color};}
.resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_avatar{border-color: ${color};}
.resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_content{background:${color}}
.resume_main[data_color] .resume_cover[data-type="07"] .cover_item_list a.alifont{color: ${color};}
.resume_main[data_color] .resume_cover[data-type="08"] .resume_cover_content::after{background:${color}}
.resume_main[data_color] .resume_cover[data-type="09"] .resume_cover_content{background:${color}}
.resume_main[data_color] .resume_cover[data-type="09"] .cover_item_list a.alifont{color: ${color};}
.resume_main[data_color] .resume_cover[data-type="10"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="11"] .resume_cover_content{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="14"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="15"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="19"] .resume_cover_word::before{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="20"]{background-color:${color}}
.resume_main[data_color] .resume_letter[data-type="06"]{background-color:${color}}
.resume_main[data_color] .resume_letter[data-type="12"]{background-color:${color}}
.resume_main[data_color] .resume_item dl dt span.resume_item_title_span,.resume_main[data_color] .name_item .name-con .name{color:${color};}
-
?
姓名
-
錘子簡歷
我雖不是最好,但我會一直努力,為這個事業(yè)而奮斗終身。
-
教育背景
-
2012.09-2016.06
錘子簡歷大學(xué)
軟件工程
主修課程:C/C++程序設(shè)計、Java程序設(shè)計、數(shù)據(jù)結(jié)構(gòu)、計算方法、編譯原理、軟件工程、操作系統(tǒng)原理、數(shù)據(jù)庫系統(tǒng)原理、網(wǎng)絡(luò)數(shù)據(jù)庫、計算機網(wǎng)絡(luò)技術(shù)
-
工作經(jīng)驗
-
2018.01-2019.11
錘子簡歷公司
推薦算法工程師
工作描述:
- 從事用戶畫像相關(guān)的工作,刻畫其興趣偏好,為短視頻推薦提供指導(dǎo);
- 負責(zé)基于觀看的行為數(shù)據(jù),標識對不同標簽的視屏的興趣程度;
- 負責(zé)根據(jù)作者發(fā)布的視頻的被播放和被交互情況,描繪擅長的視頻的類目;
- 負責(zé)根據(jù)行為數(shù)據(jù)刻畫用戶對不同作者發(fā)布的視頻感興趣程度,發(fā)現(xiàn)其感興趣的創(chuàng)作者;
- 負責(zé)完成分組畫像,冷啟動,構(gòu)建視頻的異構(gòu)圖,使用圖嵌入算法提供大眾和視頻的隱式向量;
2016.06-2017.12
錘子簡歷公司
推薦算法工程師
工作描述:
- 根據(jù)用戶搜索關(guān)鍵詞,對于非登陸用戶根據(jù)落地博客智能推薦一批推薦博客并排序,提升 CTR;
- 負責(zé)推薦出一批與用戶與其相關(guān)的博客并排序,提升用戶的訪問深度;
- 找出與落地博客強相關(guān)的課程,提升課程的購買率。原創(chuàng)博客識別,從2700 萬中識別出 1800 萬原創(chuàng),總體準確率 93%,識別準確率提升 13%;
- 根據(jù)正文、代碼段、圖片等維度建模,基本滿足業(yè)務(wù)需求;
-
自我評價
-
之前一直從事硬件方面的工作,現(xiàn)在想從事人工智能深度學(xué)習(xí)方面的工作。在最近的半年時間里,自學(xué)了python、Tensorflow、CNN/RNN、ubuntu等大數(shù)據(jù)人工智能方面的知識。我深知在換行業(yè)和職業(yè)這種折騰的過程中會遇到很多困難,但我依然走上了這條道路,因為折騰在抵抗麻木的過程中,會讓生活變得更有意思。希望各位HR能給個面試機會。
-
作品展示
-
+(支持jpg/png格式,單張圖片不超過2M,最多支持添加8張圖片)
-
?
項目經(jīng)歷
-
2017.01-2017.03
推薦系統(tǒng)升級與優(yōu)化
負責(zé)人
- 該項目是智能電視的個性化推薦系統(tǒng) 從數(shù)據(jù)采集到線上發(fā)布的維護與優(yōu)化升級;
- 負責(zé)對召回模塊采用多種召回算法進行優(yōu)化;閱讀推薦前沿相關(guān)文獻進行算法模型研究;畫像維度擴展分析;對節(jié)目標簽與用戶畫像標簽成功依據(jù)興趣維度進行分類壓縮優(yōu)化;在電視家庭成員構(gòu)成分析中成功擴展維度;
- 完成發(fā)明專利一篇,對目前視頻推薦系統(tǒng)中涉及的召回算法與排序算法有了深入的理解與實踐應(yīng)用,對 spark 的 SQL,ML 掌握更加熟練;
-
?
語言技能
-
- 技能:熟悉django rest framework、flask框架、pyspider和spark相關(guān)組件;熟練使用python語言,了解java、scala語言和前端基本知識;熟悉redis、mysql等常用數(shù)據(jù)庫和其基本操作;了解tensorflow,sklearn,sparkmllib、sparkml等;掌握基本的機器學(xué)習(xí)算法(gdbt、lr、rf、lstm、cf、fm、DeepFM等)和nlp技術(shù)(分詞,文本分類,命名實體識別);