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Posts Tagged ‘search’

Easy Twitter Recruitment / Sourcing Tools


Twitter Bio Search

Do you know that every twitter account has a bio section associated it. You can search bio through various tools and uncover good candidates / references.

 

TweepSearch :: Twitter Profile and Bio Search

Twitter bio and profile search, even allow you to limit by your personalized friends and followers.

tweepsearch.com


Follower Wonk: Cool stuff with Twitter bios, stats, and such

You can not only search twitter bios but also compare two twitter usernames. Cool isn’t it?

http://followerwonk.com/

 

Twitter Search, Twitter Directory, Twitter Yellow Pages :: Twellow

A search directory of people by area of expertise, profession or other attribute listed in personal profiles on Twitter.

http://www.twellow.com

 

TwitJobSearch.com – A Job Search Engine for Twitter.

Twitter Job posting tool

http://www.twitjobsearch.com/static/add-jobs

 

Do you still need more Twitter Apps?

http://www.squidoo.com/twitterapps

QWiki – The hidden potential of Information Experience

January 31, 2011 Leave a comment

QWiki – The hidden potential of Information Experience

The current “war” in the web space is presenting new challenges to existing players like Google. Especially with sudden surge of social media, few people doubt how Google will cope-up against Facebook / Twitter. Little we understand that both these channels play with “information” and do very little to innovate with it.

QWiki has been recently released in TechCrunch. It is an excellent and smart example of information is more powerful and impactful when it adds with an “experience”. While all other leading web players are busy in focusing on sharing, QWiki ads up a spice in presenting that information. On the outset QWiki is a natural extension of Wiki (Wikipedia) family. This tool is design to present information of any topic with voice, pictures and graphics. In short – adding human touch to information.

For an example – if you search for Steve Jobs of Apple on Google, you will get Wikipedia page showing all text information of Steve. Now imagine, your search results throw you a story of Steve Jobs evolving from a student to Millionaire owner of Apple. It also adds lot of pictures, graphics and date-range of related subjects to Steve along with background voice of a sweet-voice lady describing this as an interesting story. This is exactly what “Information Experience” can bring to you.

Though this is not designed for sourcing, recruitment etc – my brain has already started to analyze from that angle. So – this is what I see as current state and future of “Information Experience”. This might be in boundary of QWiki OR outside.

QWiki – Features

  1. You need an invitation from QWiki to pen an account. Volunteer yourself for beta testing.
  2. An information stored about a specific place, person OR any other popular topic along with their statistics, audio-visual presentation (like PPT).
  3. Presently it contains very limited topics (no comparison to Wikipedia). The database of topics will increase in coming days.
  4. A natural step ahead after Wikipedia and Wolfram-Alpha
  5. Ability to share with Facebook / Twitter / LinkedIn makes it a very interesting tool.
  6. Extremely engaging and interesting way to convert information into story with images.
  7. Millions of interesting and popular topics listed.
  8. Also referencing to the source of its information on Wikipedia, Google, Flickr, YouTube etc.
  9. In the end – it also shows you “related” topics to view.
  10. QWiki is in Alpha testing phase currently and only open for limited usage. So it will have few very basic errors. It’s giving away T-Shirts as prize though J
  11. All in all – a truly out-of-box “Information Experience”.

This is just a start! We are living in information managed world today; everything is about information. Most of our information is plain HTML / WORD text. However, what if few kinds of information can be presented with this “experience”. You will surely get that WOW! effect. Even from recruitment sourcing point of view – this has a lot of potential.

QWiki – Things we would like to see

  1. What if QWiki transforms itself from a Wiki database to actual search engine? Imagine your search engine pages in QWiki way. WOW!!!
  2. If we key-in any candidate name – it should be able to search related information from other sources and put it together in their current format. Awesome!!! Would not your hiring manager prefer such presentation?
  3. How about presenting your job requirement to prospective candidate in this format? Candidates would be able to visualize their company, responsibilities, growth path etc. WOW!!!
  4. Great tool for intelligence on your competitors to know their company information, statistics, history and any other information. (May be they can add management teams in future!)
  5. I believe being in Alpha Testing – they have not used all the sources of information in full strength. It’s like Google + Wikipedia + YouTube + Image Search. It’s all about integrating technologies!
  6. What if they tie up with LinkedIn / Facebook to fetch user information and create their own directory of people?

Possibilities are endless. QWiki has provided a much needed sparkle to force information (Search / Social Media) providers to think in different way and getting back to their basics. I am frankly sick and tired of hearing Google VS Facebook. Technologies needs to complement and shaking hands with one other. Innovating will keep them relatively secure from being absolute.

I am sure you will enjoy this information “Experience”…

Categories: Tools Tags: , ,

Twitter Bio Search through Search Engines – What’s the best way?

December 15, 2010 3 comments

For long time now – I have been finding new ways to search on twitter. In fact, I also tried contacting Twitter to find one reason why they do not have a Bio Search facility inside. However, their internal search facility is so weak that it is faster to search a twitter page using search engines than internally.

When it comes to searching candidates via Google – LinkedIn tops the chart as it is designed in such a way where you can search public profiles very easily. Other networking sites like Facebook and Twitter actually have more number of users than LinkedIn; however due to page/profile structure LinkedIn becomes more effective. I wonder what if Facebook and Twitter realize this fact and makes their user profile page PUBLIC!!! Well, Twitter has that facility in a bit complex way – but yes there is an open way. Facebook is strictly “No Entry” till now.

I have been using sites like Tweepsearch.com, Twellow.com to search bios till now. I quickly realized that they are not full-proof as they do not have a complete index of twitter. You can only find a very few percentage profiles over there. I was reading Glen Cathey’s The Big Deal about Bing for Sourcing and Recruiting the other day where he has given a smarter way to search Twitter profile. Hence, I decided to do some R&D on what’s the best way to search pure profiles on twitter through Google and Bing.

Step – 1

I started to build my search string to search bio pages. I tried following

Site:twitter.com intitle:”on twitter” “get short” bio Capgemini

All bio pages have a common title ending as “On twitter” – such as Sarang Brahme (sarangbrahme) On Twitter.

Also, when I saw their cached pages – they also have a tag-line at top of the page called “Get short, timely messages from”.

Adding both these elements helped me getting only bio pages removing all other irrelevant pages.

Step – 2

Initially I started by using NEAR and AROUND functions of Bing and Google respectively. They both are used to do proximity search. This would help me to search specific keywords in proximity of bio; as I would like to avoid getting my results on any other part of pages (twits).

E.g. bio NEAR:5 Capgemini (BING)

Bio AROUND(5) Capgemini (Google)

Both of above will find pages wherein Capgemini is within 5 keywords of bio. This helps in filtering only Bio’s on Twitter.

Now let’s try comparing these searches on Bing, Google and Tweepsearch.

Bing Search

site:twitter.com intitle:”on twitter” bio NEAR:6 Capgemini

Around 115 results! OK – it sounds less? Let’s try Google. Most of them seem to be good.

Google Search

site:twitter.com intitle:”on twitter” name “Get short” bio AROUND(6) Capgemini

Oh wow!!! It has over 1500 results. Google is THE best right?

Wait a minute. Once you starts rolling over to 4+ pages – you’ll notice that most of these results are not relevant to your search. Ideally it should throw only those profiles where bio and capgemini are within 6 keywords. But – that’s not the case. Bing scores….

Now let’s see what directory search yeilds

Tweepsearch


Well, it gives 51 results – and we’re sure all of them are 100% relevant.

So – what’s the outcome of this research?

1.       AROUND operator of Google does not throw accurate results. Bing’s NEAR scores really well.

2.       Usage of asterisk (*) is relatively difficult in place of around in Google as it only searches within specific given numbers and not in range.  “bio * * Capgemini” is not equal to bio NEAR:2 Capgemini.

3.       Using proximity search in Bio search only gives 80% correct results. To cover entire ground you may consider removing proximity operator – especially for niche keywords (skills). This way, you can scan results yourself and not let operator choose for you.

4.       Using BING and GOOGLE is a very wise idea! I carried out a case study where I wanted to find pages with “Vision Plus” (Credit Card IT Skill). Being very niche skill – I removed proximity from both searches.

a.       Bing: site:twitter.com intitle:”on twitter” bio “vision plus”

b.      Google: site:twitter.com intitle:”on twitter” name “Get short” bio “vision plus”

Surprisingly – both searches gave me 20 results. However, most of the results were very different from each other. Number of results that I got on Bing was not present on Google and vice versa. It tells me that I have to do BING AND GOOGLE

5.       Sites like Tweepsearch and Twellow are “The best” locations to search twitter profiles. Their indexing is not always up to date.

6.       Bing scores well above Google in searching more relevant Bio searches due to NEAR operator; however remember that you are not covering full ground.

7.       Lastly – Google needs to come up OR strengthen their proximity search. Somehow – AROUND operator is not strong enough and accurate.

I’ve no hesitation in thanking Glen Cathey to ignite this into my head. I’m sure there are better ways to use these operators and searching Twitter bios.

Wine always tastes better with time!!!!

Sarang Brahme

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