chenjiashuo123/CCF_2020_BEIKE
CCF BDCI 2020 房产行业聊天问答匹配赛道 A榜47/2985
This project helps real estate professionals or customer service teams accurately match customer questions with the most relevant answers from a database. It takes a customer's chat query and a set of potential answers, then identifies the best matching answer. This helps improve response accuracy for anyone managing online interactions or chatbots in the property sector.
No commits in the last 6 months.
Use this if you need to improve the accuracy of a system that automatically matches customer questions about real estate with pre-defined answers.
Not ideal if your primary goal is to generate new answers to questions rather than matching existing ones.
Stars
39
Forks
4
Language
Python
License
—
Category
Last pushed
Dec 15, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/chenjiashuo123/CCF_2020_BEIKE"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ShawnyXiao/2017-CCF-BDCI-AIJudge
2017-CCF-BDCI-让AI当法官(初赛):7th/415 (Top 1.68%)
ShawnyXiao/2018-DC-DataGrand-TextIntelProcess
2018-DC-“达观杯”文本智能处理挑战赛:冠军 (1st/3131)
beader/tianchi_nl2sql
追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码
rogeroyer/2019-CCF-BDCI-Finance-Information-Negative-Judgment
top1-solution
zhanzecheng/SOHU_competition
Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)