If you were born in the 1960s or earlier, you and watched any good sci-fi, you probably feel a bit robbed. There are no moon colonies, no hoverboards, and no flying cars. If you were born later, you’d probably pretty happy because your dream of disappearing into your smartphone is nearly here. With that said, we are chipping away at the Turing dream of artificial general intelligence (AGI). What is AGI? AGI is essentially the next step after artificial intelligence.
Machine learning and AI technologies are everywhere. One of the top uses is to predict human behavior. Luckily, people are creatures of habit. Moreover, when given the freedom to do anything they want, most people will do what everyone else is doing (I’m paraphrasing a badly remembered quote). That makes is kind of easy to predict what people will do next, at least statistically. Imagine you go to a website and start rating things.
Every Omnichannel retailer is seeking to provide better search and recommendations to influence customers and increase conversions. What sources of data should retailers utilize in generating recommendations? Online retailers have only web-based events like clicks and queries to use for customer behavior modeling. An Omnichannel retailer can combine online data with other data from other channels like loyalty programs and in-store interactions, resulting in more comprehensive intelligence.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".