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Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search
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Sourcing Hard-to-find Candidates From the Deep Web with Peer Regression Search

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ERE Webinar from 3/2/11, presented by Shally Steckerl.

ERE Webinar from 3/2/11, presented by Shally Steckerl.

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  • 1. ArbitaWebinarSeries Peer Regression
  • 2. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Peer Regression Wha…? 1. Find the name(s) of famous, popular, or notable people in your target field 2. Search on the name (and any additional keywords needed for context) to reveal others they work(ed) with, influenced or were influenced by. 2
  • 3. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Peer Search Through Image Captions • Finding peers through image captions – “gary flake" ("l. to r." OR "l to r" OR "left to right" OR "r. to l." OR "r to l" OR "right to left" OR "back row:" OR "clockwise from") – Try names of events, groups or companies – Look for PDFs as well as photos • Images, files and other documents can be found using filetype: searches but sometimes they are converted before being shared online. Look for them in document repositories like Docstock, Scribd, SlideShare, Toodoc, and others. • Search the big four on Bing, just add your keywords 3
  • 4. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Image Search • Image search cleans SEO spam – Results are only web pages containing images with names or tags that match your search, thus eliminating much of the garbage. Try this Google Images example! – Text used to classify images are: snippet of text before or after the image, anchor text on any link pointing to the image, “alt” text of the image, image url • Zuula Images searches, try the “faces” mode  – Google, Bing, Exalead, Pixsy, Flickr, Photobucket, SmugMug, Picasa • TinEye reverse image search finds people based on certifications, product logos, company logos, application logos and icons, people's photos, building or location photos, etc. (hint: use images found above) 4
  • 5. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Magazines and Periodicals • Reveals names of people mentioned in interviews, as article authors, members of organizations, award winners • Findarticles.com • Highbeam.com • Books.google.com – “Software Engineer” US Black Engineer & IT – "CPA for|with|at Deloitte“ 5
  • 6. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Facebook • BranchOut is like LinkedIn for Facebook (Example Stats) – 646 Friends on BranchOut – 426,474 2nd Degree Connections (friends of a friend) – Search for a person and see their connections – 207,391 Companies in my network – Search for a company and see who your friends know at that company – Connect your Twitter to BranchOut 6
  • 7. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. People Search Refresher • Pipl.com – Real-time search of deep web (databases like JigSaw, Zoominfo) – Includes social networks, blogs, and websites – Plus white pages listings, hoovers, LexisNexis • Spokeo.com – The “mirror image” of Ziki.com it lets you aggregate all your friends sites into one location so you can stay up to date with all their “goings on.” • Wink.com – Social network “vertical search engine” – also useful by topic not just by name • Zabasearch.com search multiple white pages databases • Radaris.com: validate middle initials, locations, relatives • PeopleLookUp.com: disambiguate relatives • Argali.com: – free desktop search, awesome with white pages and local business lookup, also has reverse number search, area code lookup, reverse prefix lookup, zip code search 7
  • 8. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Listening In ad-hoc and real-time • Yauba.com searches: real-time, websites, news, blogs, socnets, documents, images, videos, etc. (bigger than IceRocket’s big buzz) • See if the username exists on any social networks via: Usernamecheck (60+ sites) or Knowem (120+ sites) • Google’s Follow Finder: Enter the username of one of your targets and find similar tweeps 8
  • 9. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Natural Phrase Examples • The “with” method – (he OR she) "for|at|on|with * Brian Behlendorf“ • The “team” method – "Brian Behlendorf" ("my team" OR "our team") • Google Blogsearch – “and Brian Behlendorf” • Exalead – worked NEAR "Brian Behlendorf“ • The 3+ name method works on people (like attracts like): – "shally steckerl" “dave mendoza" "tim o'connor" "steve rath“ 9
  • 10. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Status Updates and Comments • Snapbird.org search for “with” in timeline archive • Twingly.com search for “4sq with” @twitterhandle • Facebook status updates on http://youropenbook.org/ • Search for blog comments on – Social Mention http://socialmention.com – BackType http://www.backtype.com – coComment http://www.cocomment.com 10
  • 11. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Video Search • People being interviewed by video bloggers or the local news can easily spill the beans and give juicy details – Ex: “with Brian Behlendorf” or “and Brian Behlendorf” • Search video transcripts via: – Blinkx.com – Video.google.com – Video.aol.com – Truveo.com – Vimeo.com • Silobreaker.com: an online search service for news and current events recognizes people, companies, topics, places and keywords; understands how they relate to each other in the news flow, and puts them in context 11
  • 12. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Maltego • Get it free: http://www.paterva.com/maltego (pro version is $650 firs year $320 each add.) • AWESOME at peer regression – well worth the money • Mines and gathers information and visually represents it for easy human cognition • Discover key relationships (people) and helps you identify previously unknown relationships between them • Obtains people information like: – Email addresses, sites, and phone numbers associated with a person's name – Social groups, companies, organizations associated with a person's name – Find other people associated with a person’s name – Do simple verification of email addresses – Search blogs for tags and phrases 12
  • 13. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved. Wayback Machine • Go to http://waybackmachine.org/ • Find people at a company whose website has since been absorbed into another (e.g., after acquisition, dissolution) • Enter the URL for the old page • You can sometimes an see archived versions and reveal who used to work there! http://replay.waybackmachine.org/20070102131048/http: //www.witness.com/main.aspx?pid=11 • Where are those people now? 13
  • 14. ArbitaWebinarSeries:PeerRegression(ERE) Copyright 2011 Arbita. All rights reserved.  Follow @Shally and @Arbitainc on Twitter  Join Arbita on LinkedIn and Facebook  Participate in Arbita’s Recruitment Genome Project, the single most wide-reaching and thorough market research project ever conducted in the recruitment community, and get the 1st and 2nd reports free:  Exhaustive secondary research  Analysis from industry thought leaders  Practical wisdom from over 4000 staffing leaders  Ranked list of key sourcing initiatives Next Steps…

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