We all know the usual suspects: Google, Bing, and Yahoo. Is that it? Are those the only options?
Let’s try these unusual search engines for sourcing.
As shown on the footer of the home page. A submitted query goes through natural language understanding, pulls results from curated data and knowledge, and runs through a dynamic algorithmic computation; resulting in a computed visual presentation.
Didn’t get it? Let’s try an example.
Enter the query:
The result has these sections:
- computer software engineers
- people employed
- United States
- computer software applications engineers
- People employed:
- Mean wage:
$90170 per year
Other sections have this data:
- Related occupations
- Standard occupational classification
Let’s try another query. Start typing this:
number of. It shows these suggestions:
- number of English speakers
- number of hours in 7 weeks
- number of partitions of 1250
- number of homes in Denver
- number of galaxies
Try the query:
number of accountants in Chicago:
- Input interpretation:
accountants and auditors,
- 32880 people
- Yearly change:
- Median wage:
I had a hard time coming up with natural queries. The website has a page with examples. You can select a topic and get some ideas of queries that you can submit.
With this search engine, you can search in two languages at the same time. Why would you need this? I thought about it too.
I set the options to search pages written in English and Spanish.
Then I used the query:
Article Continues Below
Hire for what’s next with Greenhouse.
It shows two columns of results. English on the left. Spanish on the right.
A lot of interesting results on the right:
- ‘Big Data, lo que todo ingeniero deberia saber’: https://masqueingenieria.com
- ‘Trabajo ingeniero hadoop’: https://www.jobatus.es/
- ‘Ofertas de empleo Hadoop en Barcelona’: https://www.jobfluent.com
- ‘ingeniero hadoop hive spark python’: https://co.linkedin.com
In one of these results, I found a long list of users.
A search engine to crawl the deep web. Information not crawled by your typical search engine:
- academic information
- scientific reports
- social media
- other resources not crawled by Google or Bing.
Let’s try this query:
hedge fund manager
The results page has a variety of filters:
- Document format
I clicked on the ‘Authors’ dropdown. It shows at least 100 authors. I selected one of these, and it showed my two results. One of them said
IDC FutureScape: Worldwide Payments 2017 Predictions. I went to this result, and it opened a page describing an abstract from multiple authors. Some of their titles:
Research Director Worldwide Blockchain,
Research Director Consumer Banking,
Associate VP Financial Insights.
Back on the full list of results. I filtered by,
Document type: Blog. The results now show only from Forbes. However, each result description contains a lot of information about hedge funds and managers.
It looks like Google and Bing aren’t the only options. Perhaps you can try something new.