I have a European client who keeps coming back with the same request, to source for a particular job opening. They are growing and are looking for multiple people who match the same requirement. By now, the number of profiles I have sourced for them is getting close to 1,000. As I repeat the search, ideally, I would like to …
“To be” OR (NOT “to be”) on LinkedIn
If we search on LinkedIn without the keywords, all it shows is the “close” network, which is our 1st and 2nd connections. Want to search without keywords but include all results? Then the trick is to use keywords but make the search non-restrictive. Here is an example string that finds everyone: “to be” OR (NOT “to be”) (you can replace …
LinkedIn Accounts Comparison
Let’s take a look at what various LinkedIn types of accounts offer. LinkedIn has “personal” and “professional” account types. Personal are basic, career, and business subscriptions. All personal accounts have the same search filters (there are no “premium” filters for a business account). Professional are Recruiter Lite, LinkedIn Recruiter (LIR), Sales Navigator, and Sales Navigator Team. Number of Search Results …
LinkedIn Recruiter: More Confusion
Remember, LinkedIn Recruiter finds more results when we enter a company name vs. point to a company object? We discussed this in LinkedIn Recruiter: Not WYSIWYG. Well, it turns out that, when searching for job titles, it is the opposite: selecting a value (Software Engineer, in the screenshot) brings many more results than entering the same words in quotation marks – …
LinkedIn Recruiter: Not WYSIWYG
Well-designed user interfaces follow the rule of WYSIWYG – “what you see is what you get”. Unfortunately, LinkedIn Recruiter doesn’t do the best job in this regard. Just look at the screenshot of two searches for company=Apple I have done. Which number is correct, on the right or the left? The secret in the two different numbers displayed is that, …
LinkedIn Locations and Traffic in the Bay Area
The traffic in the San Francisco Bay Area, where I live, is pretty bad. What the commute is like is a serious consideration for anyone looking for a job. Let’s take a look how LinkedIn job posts treat locations – posted and searched for. LinkedIn has 1) “area” locations and 2) specific cities as locations. The city locations are …
Hidden LinkedIn Interpretations
LinkedIn’s Big Data puts the company in a unique position to create a system of organizations, job titles, skills, and the term relationships – which it used to have ambitious plans to do. I hope they will pick it up! But unfortunately, in the last few years, we are seeing somewhat weak and inconsistent attempts to figure out the data …
How LinkedIn “Loses” Your Potential Candidates and Leads
Searching on LinkedIn? As illustrated by some puzzling search examples in the posts LinkedIn-Based IQ Test and Advanced LinkedIn-Based IQ Test, LinkedIn search has been missing some results that apparently do exist in its database. Thanks to all for the comments and investigating. Special thanks to Rachel Evans and Adam Kovacs who performed an in-depth exploration of the unfortunate “phenomena” and …
Advanced LinkedIn-Based IQ Test
In the previous post, LinkedIn-Based IQ Test, together with some folks who have posted insightful comments, we have observed that LinkedIn search attempts to interpret search terms. It recognizes the names of people and some (large?) companies if we enter them in the search box – and automatically alters the searches it performs based on that. For example, search for Morgan, get people with the …
LinkedIn-Based IQ Test
Whether Boolean, Semantic, or Machine Learning win the global search quality competition, remains to be seen. But a search system quality, by definition, depends on how well users can get results they want. For that, a user’s understanding of what to expect in the results is important (I hope you agree with the last statement). Many modern systems have advanced search syntax – at …