A presentation designed to inform researchers about how they can use ScienceOpen for advanced search and discovery and increasing their research impact.
A presentation designed to inform researchers about how they can use ScienceOpen for advanced search and discovery and increasing their research impact.
Introduction into Search Engines and Information RetrievalA. LE
Gives a brief introduction into search engines and information retrieval. Covers basics about Google and Yahoo, fundamental terms in the area of information retrieval and an introduction into the famous page rank algorithm
Crossref DataCite joint data citation webinarCrossref
Webinar by DataCite and Crossref on how to cite data (for publishers and repositories) and how this information can be used to recognise and credit data creators.
Search Engines Demystified. The presentation covers about types of engines, search engine internal, comparative study, indexing, searching, information retrieval, inverted index, clustering, meta search engines, semantic search, search engine optimization, search evaluation, how to do search, search architecture and more.
Introduction into Search Engines and Information RetrievalA. LE
Gives a brief introduction into search engines and information retrieval. Covers basics about Google and Yahoo, fundamental terms in the area of information retrieval and an introduction into the famous page rank algorithm
Crossref DataCite joint data citation webinarCrossref
Webinar by DataCite and Crossref on how to cite data (for publishers and repositories) and how this information can be used to recognise and credit data creators.
Search Engines Demystified. The presentation covers about types of engines, search engine internal, comparative study, indexing, searching, information retrieval, inverted index, clustering, meta search engines, semantic search, search engine optimization, search evaluation, how to do search, search architecture and more.
Five fast ways to improve search and findability across enterprise networksKristian Norling
Ask employees what their main pain points are when it comes to using enterprise networks and chances are “search” will appear high on the list. Yet a recent survey conducted by Findwise shows that while 78% of respondents believe finding the right information is critical to business goals and success, only 24% have a search strategy in place. Only 9% claim it’s “fairly easy” to find content, compared to 64% who admit it’s “hard” or “very hard”.
While the problem requires resource and in-depth review to tackle effectively, there are simple ways to start the journey while getting a longer-term strategy in place.
And actually this presentation contains 7 ways and some bonus content too!
Overview of structured search technology. Using the structure of a document to create better search results for document search and retrieval.
How both search precision and recall is improved when the structure of a document is used.
How a keyword match in a title of a document can be used to boost the search score.
Case studies with the eXist native XML database.
Steps to set up a pilot project.
AI-Powered Linguistics and Search with Fusion and RosetteLucidworks
For a personalized search experience, search curation requires robust text interpretation, data enrichment, relevancy tuning and recommendations. In order to achieve this, language and entity identification are crucial.
For teams working on search applications, advanced language packages allow them to achieve greater recall without sacrificing precision.
Join us for a guided tour of our new Advanced Linguistics packages, available in Fusion, thanks to the technology partnership between Lucidworks and Basistech.
We’ll explore the application of language identification and entity extraction in the context of search, along with practical examples of personalizing search and enhancing entity extraction.
In this webinar, we’ll cover:
-How Fusion uses the Rosette Basic Linguistics and Entity Extraction packages
-Tips for improving language identification and treatment as well as data enrichment for personalization
-Speech2 demo modeling Active Recommendation
-Use Rosette’s packages with Fusion Pipelines to build custom entities for specific domain use cases
Featuring:
-Radu Miclaus, Director of Product, AI and Cloud, Lucidworks, Lucidworks
-Robert Lucarini, Senior Software Engineer, Lucidworks
-Nick Belanger, Solutions Engineer, Basis Technology
Competitive intelligence for sourcers gutmacher-TA Week 2021Glenn Gutmacher
presentation on competitive intelligence methods and tools for talent sourcers; big thanks to Greg Hawkes for contributions on an earlier version of this session co-presented at SOSU
10 Sourcing Tips with Ryan Gillis - SourceCon DC Webinar 8-29-19rgillis
10 Sourcing Tips was a SourceCon DC Webinar that focused on 10 specific sourcing techniques/tips and the free tools that help you get the best results.
Empowering the business for eDiscovery in Office 365 - BRK2112Joanne Klein
45 minute breakout session from Microsoft Ignite 2019. Practical session covering 3 must-have skills for business teams to "self-serve" on their own eDiscovery requests.
Multi-language Content Discovery Through Entity Driven SearchAlessandro Benedetti
This talk is about the description of the implementation of a Semantic Search
Engine based on Solr.
Meaningfully structuring content is critical, Natural Language Processing and
Semantic Enrichment is becoming increasingly important to improve the quality
of Solr search results .
Our solution is based on three advanced features :
Entity-oriented search - Searching not by keyword, but by entities (concepts
in a certain domain).
Knowledge graphs - Leveraging relationships amongst entities: Linked Data
datasets (Freebase, DbPedia, Custom ...)
Search assistance - Autocomplete and Spellchecking are now common features,
but using semantic data makes it possible to offer smarter features, driving
the users to build queries in a natural way.
The approach includes unstructured data processing mechanisms integrated with
Solr to automatically index semantic and multi-language information.
Smart Autocomplete will complete users' query with entity names and
properties from the domain knowledge graph. As the user types, the system
will propose a set of named entities and/or a set of entity types across
different languages. As the user accepts a suggestion, the system will
dynamically adapt following suggestions and return relevant documents.
Semantic More Like This will find similar documents to a seed one, based on
the underlying knowledge in the documents, instead of tokens.
God søk er essentielt for et godt intranett. Likevel investeres det hverken i nødvendig teknologi eller kompetanseutvikling på søk. Resultatet er skremmende: dobbeltarbeid, dårlige beslutninger, forsinkelser og overskridelser, kaste bort ansattes tid på leting etter informasjon, treg respons på marked, konkurrenter osv. Med forholdsvis enkle grep kan du gjøre noe med dette i dag.
- Hjelp - intranettet flyter over av innhold
- Sammenhengen mellom søk, informasjon, arkitektur og hyperkoblinger
- Viktigheten av kontekst
- Hva har tillit å gjøre med søk
- Hva med mobilen og søk
- Eksempler på dårlig och god søk
Watch this expert-led webinar to learn effective tactics that high-volume hiring teams can use right now to attract top talent into their pipeline faster.
Aashman Foundation Summer Internship .docxAmanHamza4
The internship opportunity I had with “Aasmaan Foundation” was a great chance for learning and professional development. Therefore, I consider myself a very lucky individual as I was provided with an opportunity to be a part of it. I am also grateful for having a chance to meet so many wonderful people and professionals who led me though this internship period.
I am using this opportunity to express my deepest gratitude and special thanks to “Munish Pundir” “Director “who despite being extraordinarily busy with “her/his” duties, took time out to hear, guide, and keep me on the correct path and allowing me to carry out my internship at their esteemed organization.
I further want to thank Prof. Shikha Gera, who helped me to better understand concepts of professionalism and become a better person and employee in my life.
I would also like to thank my parents and friends who helped me a lot during my life and this internship period. I perceive this opportunity as a big milestone in my career development. I will strive to use gained skills and knowledge in the best possible way, and I will continue to work on their improvement, to attain desired career objectives. Hope to continue cooperation with all of you in the future.
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...SocialHRCamp
Speaker: Kinga Petrovai
You have the new AI tools, but how can you help your team use them to their full potential? As technology is changing daily, it’s hard to learn and keep up with the latest developments. Help your team amplify their learning with a new collaborative learning approach called the Learning Hive.
This session outlines the Learning Hive approach that sets up collaborations that foster great learning without the need for L&D to produce content. The Learning Hive enables effective knowledge sharing where employees learn from each other and apply this learning to their work, all while building stronger community bonds. This approach amplifies the impact of other learning resources and fosters a culture of continuous learning within the organization.
1.
Finding
Passive
Candidates
By
Targeting
Filetypes
Talent42
Sourcing
Roundtable
■
June
9-‐10,
2015
5
TIPS
FOR
SEARCHING
ON
FILETYPE:
1
2
3
4
5
Contact
Information
Recruiting
Toolbox,
Inc.
www.recruitingtoolbox.com
Matt
Grove
Principal
matt@recruitingtoolbox.com
If
we
search
for
resumes
in
a
search
engine,
we
can
narrow
our
results
to
only
those
types
of
files
that
are
common
resume
formats.
Common
file
types
for
resume
are:
PDF,
DOC,
DOCX,
HTML,
HTM,
and
PHP.
We
can
also
search
for
attendee
lists
for
conferences,
events,
and
meetings
of
talented
tech
people.
“software
development”
attendees
(intitle:directory
OR
inurl:directory
OR
intitle:list
OR
inurl:list
OR
intitle:roster
OR
inurl:roster)
@microsoft.com
Attendee
and
member
lists
are
very
often
saved
in
Excel,
we
can
use
a
search
string
with
a
command
to
specifically
target
Excel
files
like
in
this
sample:
filetype:xls
(attendees
OR
members
OR
participants)
(roster
OR
list)
Keyword
1
Keyword
2
Search
for
content
by
doing
an
image
search
in
your
favorite
browser.
Image
searches
are
simple
and
quick.
Use
some
quick
keywords
and
adjust
a
setting
to
only
show
pictures
of
faces
–
that
way
you
get
real
people.
There’s
even
a
handy
Chrome
extension
from
Google
or
a
reverse
image
search
by
TinEye.
If
you
want
to
find
out
more
about
attendees
at
conferences
and
events,
be
sure
to
use
sites
like
Meetup.com
and
Lanyrd.com
to
see
who
is
attending
and
speaking
all
kinds
of
conferences
worldwide.
You
can
also
use
sites
like
CardBrowser.com,
if
you
don’t
mind
paying
for
the
information.