现在约30号的考场好像都约补上了 - 未名空间MITBBS历史存档

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现在约30号的考场好像都约补上了

现在约30号的考场好像都约补上了# Accounting - 会计审计

p*y2010-11-19 08:11

1 楼

因家里老人这期间来BOSTON,有好心的朋友能在路上照应一下。
请在这里留下联系方式或站内邮箱联系。
万分感谢！

l*o2010-11-19 08:11

2 楼

买啥呢？地产,金融,有色？还是空两天看看？

l*z2010-11-19 08:11

3 楼

刚上市,最近国内貌似很火啊
http://item.taobao.com/auction/item_detail.htm?item_num_id=8398205732
居然现在只有在taobao上卖,lol

u*12010-11-19 08:11

4 楼

Responsibilities:

Participate in the AI research and application development of JD.com,
including (but not limited to) intelligent robot, NLP, risk control, etc.
responsible for team-leading on research of new topics and critical issues
solving. Guide the technical development and member-training of the team,
management skills required.
Basic Qualifications:
• MS/PhD Degree of CS, graduation from outstanding colleges is
preferred, (Stanford, Carnegie Mellon, UC Berkeley, etc.)
• Minimum 5+ years of R&D experience. Candidates must possess
technologies relevant to big data processing, i.e., machine learning, neural
network algorithms etc.; must show deep research in at least one of the
following topics: NLP, Data Mining, Big Data Reasoning, Risk Control or
other big data applications.
• Broadview on the latest development of technology worldwide,
especially in artificial intelligence (research/papers/technical update);
capability of transmitting the technology into the production stage.
• Insights of technical development tendencies in related research
domains.
• Familiar with distributed systems, statistics, optimization, with
excellent programming background and engineering experience.
• High executive ability to overcome all possible challenges
towards the target.
• AI work experience in Google/Facebook/etc. is a plus.
Research topics:
If you join us, we have the following topics:
Topic 1: Semantic Query Intention Recognition
Analyze the semantic representations of character/word/sentence, make
accurate analysis between user’s question and existing question/answer
pairs set, to accurately split user’s questions and answers to proper small
parts, recognize user’s accurate intention through analysis of semantic
structure.
Through the research on semantic representation of all characters/words/
sentences, analysis of current existing pairs of users’ questions and
answers, segmentation of these Q&A into elements and semantic structure
analysis, implement accurate intention recognition on user’s query,
Topic2: Contextual Query Intention Analysis
Analyze and integrate several rounds of talk, analyze beginning and ending
sentence for each of intentions from user, recognize sentence segmentation,
exclude useless sentences, improve accurate evaluation ability for
recognizing meaning for single or multiple rounds talk, and to improve
intention recognition/entity recognition accuracy rate.
Implement an integral analysis of multiple rounds of talk, analyze the
starting and ending information from each intention of the user, recognize
the sentence segmentation and filter all meaningless sentences, in order to
improve the accurate evaluation performance on meanings of the single/
multiple rounds of talk, and finally improve the intention recognition/
entity recognition accuracy rate.
Topic 3: QA Data Mining
Mine accurate question and answer pairs from massive talk corpus between
user and customer service staff. Ensure accuracy rate between question and
answer. And while user chats with a robot, find the best match from question
/answer pairs mined before, providing a good choice for robot’s answer.
Accurate mining of meaningful Q&A pairs from between users and Customer
Representative; ensure the accurate matching between questions and answers,
and assist the robot’s answer through the recognition and matching with the
current database.
Topic 4: Accurate Prediction for User’s Consultation
Through analysis of big data about user’s behavior/logs/historic
information, evaluate user’s main consultation intention before user write
down consultation questions, so to divide consultation service level
according to intention.
About JD.com, Inc
JD.com, Inc. is one of the Top 10 Internet Company, the largest online
retailer in China and the country’s largest Internet company by revenue.
The Company strives to offer consumers the best online shopping experience.
Through its content-rich and user-friendly website jd.com and mobile
applications, JD.com offers a wide selection of authentic products at
competitive prices and delivers products in a speedy and reliable manner. JD
.com has the largest fulfillment infrastructure of any e-commerce company in
China. It operates 7 fulfillment centers, 196 warehouses in 46 cities, and
4,760 delivery and pickup stations in 2,266 counties and districts across
China. JD.com is a member of the NASDAQ100 and a Fortune 500 company.
If interested, feel free to contact us: [email protected]!

s*s2010-11-19 08:11

5 楼

多谢大家了
1. USCIS大概要花多长时间? 必须做完才能工作还是中间有收据就可能换了?
2. transfer的有效期是不是和原来的有效期一致?

E*a2010-11-19 08:11

6 楼

我去年从学校毕业，I20到期已提出转H4申请。现正在调整身份过程中，在此期间可否
邀请母亲来美？她曾来探亲过，我在156表上该写什么状态？studying or working都不
合适我？谢谢。

h*o2010-11-19 08:11

7 楼

5月20日收到一条推送消息——“情人节快乐，我爱你！”
就在那一瞬间，我陷入了一种由数字迷信引发的节日氛围之中。越过网络，千千万万的
年轻人像我一样已经陷在“520”等于“我爱你”的疯狂表白中。5月20日被称为“网
络情人节”，它的兴起，其实是源于初代网络年轻人们的一种文字交流习惯，用谐音数
字来代替文字表达，以达到一种简洁又活泼的表达效果，或者说塑造一种属于网络初代
的表达个性（不过这能不能成为一种个性却是另外一回事），520就是这样被转化成为
“我爱你”的。但说实话，就算泛网络的程度在今天已经非常高了，但由一句网络用语
的普及，最终和一个日期绑定在一起，塑造了一个节日，这还是一个现象级的极端例子
，站在一手塑造了网络表达文化的网民们的立场上，这可能是一种偶然的成就。
这个节日蕴藏额网络文化特别容易解释，它甚至不需要你是一个网民，中国向来有数字
谐音的传统，它和那些“666”“888”“发发发”没有什么本质的区别。只是它的寓意
更美好，更具有普世性——无论你是那一辈人，是不是网络语言的参与者和缔造者，你
怎么能够拒绝一句“我爱你”呢？生活需要仪式感，网络放大了这种仪式感。