"# ShiJiJiaYuan-Competition-Dataset"
- Each sample consists of the following information: USER_ID_A, USER_ID_B, ROUND, ACTION.
| Action | Description |
|---|---|
| rec | System recommended user B to user A |
| click | User A clicked to browse personal information of user B, after the recommendations from system |
| msg | User A sent a message to user B |
- profile_m.txt: profiles of male users in datasets
- profile_f.txt: profiles of female users in datasets
- Description of profiles
| Field name | Description |
|---|---|
| Uid | |
| sex | F:female M:male |
| msg | User A sent a message to user B |
| register_time | Number of seconds since 1970 |
| last_login | Number of seconds since 1970 |
| birth_year | |
| Birthday | |
| work_location | |
| work_sublocation | |
| status | 1: Looking for dates 2: on a date 3: Already found the right person 4: Leave temporarily |
| ms_mobile | Whether to verify the mobile phone |
| education | 10: Technical secondary school 20: College 30: Undergraduate 40: Double major 50: Master 60: Ph.D. 70: Postdoctor |
| house | 0: Confidential 1: Not owning houses 2: Owning houses 3: Renting a house shared with others 4: Renting a house alone 5: Living with parents 6: Living with relatives or friends 7: Living in dormitories |
| auto | 0: Confidential 1: Not owning cars 2: Owning cars |
| marriage | 1: unmarried 2: Divorce 3: Widowed |
| children | 0: Confidential 1: No children 2: Leaving with children 3: Having children but not living together |
| industry | 0: Confidential 1: students 2: Computer/Internet/IT 3: Electronics/Semiconductor/Instrument 4: Communication Technology 5: Sales 6: Market expansion 7: PR/Business 8: Sourcing/Trade 9: Customer Service/Technical Support 10: Human Resources/Administration/Logistics 11: Senior Management 12: Production/Processing/Manufacturing 13: Quality Control/Security Check 14: Construction Machinery 15: Mechanic 16: Accounting/Auditing/Statistics 17: Finance/Securities/Investments/Insurance 18: Real Estate/Renovation/Property 19: Warehousing/Logistics 20: General Labor/Housekeeping 21: General service industry 22: Aviation Services 23: Education/Training 24: Consulting/Consultants 25: Academic/Research 26: Law 27: Design/Creativity 28: Literature / Media / Film and Television 29: Dining/Tourism 30: Chemicals 31: Energy/Geological Exploration 32: Medical/Nursing 33: Health/Beauty 34: Biological/Pharmaceutical/Medical Devices 35: Sports Workers 36: Translation 37: Civil servants/state cadres 38: Private Owners 39: Agriculture / Forestry / Animal Husbandry / Fishery 40: Police/Other 41: Freelancers 42: Other 43: Traffic/Transportation |
| privacy | |
| level | |
| nation | 0: Confidential 1: Han nationality 2: Tibetan nationality 3: Korean nationality 4: Mongolian nationality 5: Hui nationality 6: Manchu nationality 7: Uyghur nationality 8: Zhuang nationality 9: Yi nationality 10: Miao nationality 11: Other Nationalities |
| height | |
| income | Average monthly salary 0:Confidential 10:2000 ￥ 20:2000 ～ 5000 ￥ 30:5000 ～ 10000 ￥ 40:10000 ～ 20000 ￥ 50:over 20000 ￥ |
| avatar | |
| belief | 0: Confidential 1: No religion 2: Mahayana Buddhism 3: Mahayana Buddhism Tantra 4: Theravada Buddhism 5: Taoism 6: Confucianism 7: Christian Catholicism 8: Christian Orthodox 9: Protestant Christianity 10: Judaism 11: Shia Islam 12: Sunni Islam 13: Hinduism 14: Shintoism 15: Shamanism 16: Other Religious Beliefs |
| match_min_age | |
| match_max_age | |
| match_min_height | |
| match_max_height | |
| match_certified | |
| match_marriage | 0: unlimited 1: Unmarried 2: Divorce 3: Widowed 4: Unmarried, divorced 5: Unmarried, widowed 6: Divorced, widowed |
| match_education | |
| match_edu_more_than | |
| match_avatar | |
| match_work_location | |
| match_work_sublocation |