bilibili up主 入站了解 运作机制 开篇动画
视频提交之后 转码(可能会二次压缩)
ai加人工审核 血腥 暴力 色情(ai识别)
涉政 时政 版权 违反社区规范
推荐系统
根据场景特点(分区 话题 标签 相关度) 用户行为(点击率) 稿件互动质量(回复的内容是否是积极的)
精准 多样(不能重复 完全一样) 视频内容
热门热搜筛选更严格 没进去不是流量限流
限流是流量更高的时候 第二道审核出现问题
锤人 引战 粗俗的问题
视频提交之后 转码(可能会二次压缩)
ai加人工审核 血腥 暴力 色情(ai识别)
涉政 时政 版权 违反社区规范
推荐系统
根据场景特点(分区 话题 标签 相关度) 用户行为(点击率) 稿件互动质量(回复的内容是否是积极的)
精准 多样(不能重复 完全一样) 视频内容
热门热搜筛选更严格 没进去不是流量限流
限流是流量更高的时候 第二道审核出现问题
锤人 引战 粗俗的问题
玩家玩游戏的逻辑
“Looks like you are caring about me.”
Gaming starts from dissatisfactory of the reality. Be it loneliness, anger, tirement or stress.
玩游戏都是有人引导玩的 都是因为别人玩 所以跟着玩的 固有的社交属性
玩游戏和职业可能没多大关系
跟着玩会形成流派 会在不同的区域分化 比如正版盗版 单机联机
玩家自闭的因素 是因为游戏本身的复杂性 以及封闭性 重复性 玩家变得不想考虑外界的事情 只想关心游戏本身的事情
可以把游戏相关的视频从外网搬到内网 把游戏视频搬运过来 也可以引用游戏元素 头像 吸引游戏玩家的流量 可以切分游戏剪辑视频 转化游戏攻略之类的视频和文案
sound, visual effects, scripts
Classic scenes picked from danmaku peaks.
do it!
Referral spam is used to get into a targeted businesses analytics by visiting their
site multiple times with different IP’s from the domain you’re trying to market.
encourage you to add more “hot” words, by training language model in a supervised way, or just use plain replace hacks.
change open graph data for same page once in a while
scrape from wayback machine (older but clean), check plagiarism in copyscape
create a bunch of websites, all refer to your own contents.
Instagram: Instagress
G+: Circlescope
Linkedin: Elink
Twitter: Managedflitter and Twitter toolkit
chrome extension
Youtube: Tubebuddy
Facebook: Facebook automation toolkit
chrome extension
Pinterest: NinjaPinner
Tumblr (blogging platform): Tumbleninja
Email: Pitchbox
jumpcut.com provides digital marketing courses:
viral academy(free as youtube influencer 101 course), automated income machine(forbidden), video ads bootscamp(nothing, avaliable on freecoursedl.com), contageous content(currently premium)
it features different camera angles of narriator’s portraits, relative animations and pdf sheets for fill-in-blank tasks. it emphasizes on email ads and audience funnel/filter.
many free course providers now offer jumpcut academy 2.0. they also offer technical analysis/ quantative analysis on marketing and other courses. though sometimes it is better to get to the code.
中文的自媒体教程和它也是讲一个类型的内容,不过更倾向于实操和自动化。当然也有国外的自媒体教程。
我觉得教程看太多了可能不利于代码实现。可以先把记录放在这里等待之后利用。
搬运教程/课程也是一个好的方向,好的教程/课程需要被翻译或者洗稿,避免被维权。
知乎上也有被我收藏下来的一个自媒体提高视频播放量的视频。他讲的是如何用连词,问句强行引起观众注意(拍摄技巧也可以强行引起观众注意,或者其他的方法,如连贯的语音)。可能知乎上面还有更多关于提高播放量以及和jumpcut有关的内容。
can be used to analysis bilibili source code or large code base
sourcegraph/sourcegraph:
in go
github/semantic:
in haskell
sonarqube:
code audit tool
remote jobs in china:
https://github.com/LinuxSuRen/remote-jobs-in-china
remote jobs from stack overflow:
造模拟炒股软件 走势跟着大盘 收集用户交易数据
随机假设买卖点 随机假设成交 构成无数虚拟账户交易 或者用某种假设原理拆分不同来源的买卖单
time-series-transformers huggingface blog
深入浅出Python量化交易 配套代码
pandas_datareader
by yahoo 是国外股票的数据
tushare
国内股票数据
open source code for economics modeling in python/julia
pandas pipe for streamline processing of real time data
有类似的软件 我下载到windows上面过 (agent based simulation/agent based modeling) called altreva adaptive modeler
还原持仓的对象 每一个账户都要详细分析 分析每个账户什么时候买入 卖出 还有不买入 不卖出 观望的那些人 所有人都要还原
tools for high frequency trading low latency trading tool
高频交易工具 低延迟交易工具
要抢涨停板 网络必须要好 下单速度要快
joinquant
实盘易 支持多个客户端 服务端要钱的 sdk都是服务端的client
general reinforcement learning:
https://github.com/DLR-RM/stable-baselines3
crypto trading bot, support all crypto trading markets:
https://github.com/freqtrade/freqtrade
qlib by microsoft, quantatitive financial analysis:
https://github.com/microsoft/qlib
reinforcement financial deep learning package:
https://github.com/AI4Finance-Foundation/FinRL
openbb_terminal:
https://github.com/OpenBB-finance/OpenBBTerminal
zipline
https://github.com/quantopian/zipline
pyalgotrade
https://github.com/gbeced/pyalgotrade
quantaxis:
https://github.com/yutiansut/QUANTAXIS
vn.py:
talib:
https://github.com/mrjbq7/ta-lib
https://www.programcreek.com/python/example/92322/talib.EMA?msclkid=425d0f6cb5dd11ec9da2a03aa72194cd
superalgos:
questgen.ai:
generate question from essay, imitate interaction
增加观众互动性 生成问题
question answering question generator
甲骨 jiagu nlp包 provided by ownthink:
https://github.com/ownthink/Jiagu
中文分词
词性标注
命名实体识别
知识图谱关系抽取
关键词提取
文本摘要
新词发现
情感分析
文本聚类
haystack:
nlp framework
neural search neural text search
semantic search
summarization
question answering
snownlp:
chinese segmentation, pinyin, sentiment analysis (情感分析), word tags, keywords, summary, tf-idf similarity, classification, 繁体转简体
RETRO retrieval based attention net, though using faiss, unclear if it is search related. on page 8 of the paper there are different retrieval based models for selections. LDA (topic modeling) can assist search by discovering similar topics.
download nltk data here. when downloading manually, beware of the url path and id, so you would put things in order.
you would patch nltk in order to download via proxy. these data files are hosted on github assets.
check keyword urlopen
and filedownloder.py
under /data/data/com.termux/files/usr/lib/python3.10/site-packages/nltk
maybe you can explore further with online search engines? select your keyword then search again.
thesaurus will slow down things. make it into a preprocessor.
related shits can be found here
markuplm markup language model used for feature rich information extraction, webqa, arxiv paper: reading wikipedia to answer open domain questions
zinc search, go implementation of elastic search alternative
I bet there are many many alternatives. even for a relational database or graph database it can be a search engine by its nature.
how the heck can i search my own notes? slice it into little segments? standard excerpt included.
search for search engine in github.
search engines are related to spiders/crawlers.
how to utilize these search engines is a problem/challenge. use url filters, generic extractors, readbility.js, summarizers like sumy.
many specialized search engines that can search image, video and audio. one example is Jina
semantic search tool, multimedia search tool, neural search tool
https://github.com/searxng/searxng
parse popular search engine results like baidu, bing:
https://github.com/bisohns/search-engine-parser
search and scrape news
https://github.com/01joy/news-search-engine
image search engine
https://github.com/matsui528/sis
search engines used by hackers, social engineering, onion sites:
https://github.com/edoardottt/awesome-hacker-search-engines
search engine with customized recommendation:
https://github.com/mtianyan/FunpySpiderSearchEngine
seo tools 百度下拉词获取 推荐词相关词
https://github.com/marcobiedermann/search-engine-optimization
a self-hosted search engine that can be deployed on heroku, google alike:
https://github.com/benbusby/whoogle-search
txtai:
semantic search tool
pip3 install txtai
using sentence-transformer models from huggingface sentence embedding
https://github.com/neuml/txtai
yacy:
distributed search engine circumvent censorship
provide rss feeds
searx:
meta search engine self-hosted
has third-party hosted searx websites avaliable:
https://searx.space/ total 83 online(currently)
mwmbl:
distributed crawler central search engine, can be self-hosted
written in python
video search engine:
generate summary from frames
https://github.com/AkshatSh/VideoSearchEngine
yuno:
context based search engine for anime, anime search engine with transformer and deep learning. text based search. more like a semantic search tool, or neural search tool.
Yuno is a context based search engine that indexes over 0.5 million anime reviews and other anime informations. To help you find anime with specific properties. This search engine will help people of r/AnimeSuggest who are looking for specific type of anime to watch.
This search engine was created to solve the problem of finding an object with specific properties and the object in this case is anime. But this search engine can be easily extended to any domain like books,movies,etc. Without the need of any kind of handcrafted dataset.
TypeSense:
dedicated client for every popular programminhg language
consume much fewer ram than meilisearch
need to write custom web interface via nodejs
upload data via client api
MeiliSearch:
good for small dataset
consume whoopy 900mb for my 9mb json dataset.
has intuitive web interface.
upload document via web post.
A head-mounted coaxis camera, coaxis long-range microphone, buffered record mode, two separate buttons for recording and saving, implementation in micropython. large battery.