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Running Head: SEARCH TECHNOLOGIES 0
Search technologies
Report
FEBRUARY 28, 2020
Student name
Search technologies
Report
FEBRUARY 28, 2020
Student name
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SEARCH TECHNOLOGIES 1
Contents
Introduction................................................................................................................................2
Search technologies....................................................................................................................2
Conclusion..................................................................................................................................5
References..................................................................................................................................6
Contents
Introduction................................................................................................................................2
Search technologies....................................................................................................................2
Conclusion..................................................................................................................................5
References..................................................................................................................................6
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SEARCH TECHNOLOGIES 2
Introduction
The paper is focused on researching about leveraging search technologies in the
context of managing information systems. Search technologies have used for finding different
types of results based on the keywords, which has provided by a searcher. Google is the best
search engine all over the world because of new techniques and approaches. Google has
achieved the first position in the field of searching. This report will discuss the different
search techniques of the company. it is the best approach to manage different types of
outcomes (Hendler, 2010).
Google was created for the searching process of web pages, which provides proper
information about something. In addition, Google has faced huge competition from Yahoo.
However, the firm has used the PageRank algorithm for linking pages for better information.
The company has changed its business model to capture advertising revenues. The company
has earned $16 billion form advertising service, which is a service to show ads between the
contextual search. DoubleClick generated a new way to access aggregate data (Bower, 2016).
Search technologies
There are different types of searches available in the web search. The company has
invented new methods for improving the basic knowledge and benefits of advertising.
However, DoubleClick has used it for managing an advertisement. In addition, Google has
invented basic processes to manage search processes. It has included other applications as
well, such as google earth, google maps, and health as well (3rdisearch, 2019).
Introduction
The paper is focused on researching about leveraging search technologies in the
context of managing information systems. Search technologies have used for finding different
types of results based on the keywords, which has provided by a searcher. Google is the best
search engine all over the world because of new techniques and approaches. Google has
achieved the first position in the field of searching. This report will discuss the different
search techniques of the company. it is the best approach to manage different types of
outcomes (Hendler, 2010).
Google was created for the searching process of web pages, which provides proper
information about something. In addition, Google has faced huge competition from Yahoo.
However, the firm has used the PageRank algorithm for linking pages for better information.
The company has changed its business model to capture advertising revenues. The company
has earned $16 billion form advertising service, which is a service to show ads between the
contextual search. DoubleClick generated a new way to access aggregate data (Bower, 2016).
Search technologies
There are different types of searches available in the web search. The company has
invented new methods for improving the basic knowledge and benefits of advertising.
However, DoubleClick has used it for managing an advertisement. In addition, Google has
invented basic processes to manage search processes. It has included other applications as
well, such as google earth, google maps, and health as well (3rdisearch, 2019).
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SEARCH TECHNOLOGIES 3
Source: (Patel, 2020)
There are many formulas for improving the ranking of a webpage, which is suitable
for the companies as well. There are different types of products and services, which are
suitable for companies. Major companies have used analytics software for advertising about
their products and services. Moreover, Google has suggested design and advertising
strategies (Huang, Schuehle, Porter, & Youtie, 2015).
In addition, there are many processes, which can be used for managing various
processes. In addition, basic processes can be used for managing all the data and processes.
Google health provides tools for tracking Flu activity trends as well as the U. S. election.
Google has introduced the Panda algorithm update for ranking and searching. Search Engine
Optimization (SEO) has used to optimize the ranking of a page, which is suitable for the
companies (Maksimava, 2017).
In 2012, the penguin update was introduced by Google to reduce spam. This is a core
algorithm of google to manage its searching operations. It has focused on the paid links, links
from spammy sites, and optimized anchor text (Nelson, 2019). Google has introduced a huge
change in the searching algorithm because of various challenges in the management of
various processes. Hummingbird is the major algorithm of Google, which is good for the
betterment. It provides help in various processes including original queries, unique, and
unfamiliar queries. This has concerned with user experience, natural language, unfamiliar
search queries, and long-tail keywords (Nelson, 2019).
Moreover, both Pigeon and Possum updates are used for targeting local SEO. It has
suggested verified search results to users. It has focused on the well-optimized and
authoritative websites in local search results. Besides, it has considered a searcher’s physical
location for finding results as well as using google maps (PowerSuite, 2017).
Moreover, Fred has used an unofficial name, which is an update of the search
algorithm of Google. It was designed for aggressive monetization. Moreover, all processes
can be managed using this algorithm for specific reasons. It has focused on the thing content
of websites and poor mobile compatibility as well. It has reduced issues because of deceptive
ads as well (SAKOVICH, 2020).
Google has provided different types of updates, which are suitable for new
technologies and other systems as well. Moreover, the mobile-friendly update has introduced
Source: (Patel, 2020)
There are many formulas for improving the ranking of a webpage, which is suitable
for the companies as well. There are different types of products and services, which are
suitable for companies. Major companies have used analytics software for advertising about
their products and services. Moreover, Google has suggested design and advertising
strategies (Huang, Schuehle, Porter, & Youtie, 2015).
In addition, there are many processes, which can be used for managing various
processes. In addition, basic processes can be used for managing all the data and processes.
Google health provides tools for tracking Flu activity trends as well as the U. S. election.
Google has introduced the Panda algorithm update for ranking and searching. Search Engine
Optimization (SEO) has used to optimize the ranking of a page, which is suitable for the
companies (Maksimava, 2017).
In 2012, the penguin update was introduced by Google to reduce spam. This is a core
algorithm of google to manage its searching operations. It has focused on the paid links, links
from spammy sites, and optimized anchor text (Nelson, 2019). Google has introduced a huge
change in the searching algorithm because of various challenges in the management of
various processes. Hummingbird is the major algorithm of Google, which is good for the
betterment. It provides help in various processes including original queries, unique, and
unfamiliar queries. This has concerned with user experience, natural language, unfamiliar
search queries, and long-tail keywords (Nelson, 2019).
Moreover, both Pigeon and Possum updates are used for targeting local SEO. It has
suggested verified search results to users. It has focused on the well-optimized and
authoritative websites in local search results. Besides, it has considered a searcher’s physical
location for finding results as well as using google maps (PowerSuite, 2017).
Moreover, Fred has used an unofficial name, which is an update of the search
algorithm of Google. It was designed for aggressive monetization. Moreover, all processes
can be managed using this algorithm for specific reasons. It has focused on the thing content
of websites and poor mobile compatibility as well. It has reduced issues because of deceptive
ads as well (SAKOVICH, 2020).
Google has provided different types of updates, which are suitable for new
technologies and other systems as well. Moreover, the mobile-friendly update has introduced
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SEARCH TECHNOLOGIES 4
for providing better results for mobile searches according to the website ranking for mobiles.
Besides, mobile-first indexing has used for indexing of pages, which are suitable for mobile
phones as well (Nelson, 2019).
It has focused on all the sites including mobile-friendly or not. Moreover, the basic
needs of a system can be managed using this approach. It has indexed all the websites
according to their suitability for mobile and desktop (Hendler, 2010).
Moreover, the page speed update has used for page speed, which is a ranking factor
for mobile phones. It has optimized slow sites with a low ranking, which is good for the
mobile divides as well as other devices. In addition, the BERT update has provided many
benefits to the companies, which was based on natural language processing (NLP). In
addition, Medic is a core update by Google, which affects sites in the health and wellness
vertical (Huang, Schuehle, Porter, & Youtie, 2015).
In addition, the latest update of the Google search algorithm is snippet De-duping,
which had implications for organic CTR and rank tracking. Moreover, international BERT
roll-out has used for rolling out this update in 70 languages (Hendler, 2010). Google has
provided the best searching approaches for managing all the ranking and indexing, which is
necessary for a different type of user. Besides, mobile devices have used better searching and
many other processes. Most of the processes can be managed using all those updates. In
addition, Google has developed new algorithms for managing their ranking and indexing
systems based on the page rank algorithm (Haynes, 2014).
Furthermore, search algorithms are important for the company as various business
processes. Moreover, basic ranking and indexing issues can be solved using this approach as
well (Patel, 2020). Most of the websites include duplicate data, which is a serious issue in
front of the company. Thus, it is necessary to avoid such type of websites using proper
ranking. However, copyright acts have considered in the search as well. There are many
legalizations in the search as well. It cannot provide search results from restricted sites as
well (Patel, 2020).
Moreover, the ranking algorithm has provided better results for a well-structured
search. However, it has included other algorithms for page speed and indexing. Besides, NLP
has provided better results for searches. Google assistant is a new creation, which has used
NLP and other core algorithms for searching and indexing websites as well. Many users have
preferred NLP search for fast and better results (Haynes, 2014).
for providing better results for mobile searches according to the website ranking for mobiles.
Besides, mobile-first indexing has used for indexing of pages, which are suitable for mobile
phones as well (Nelson, 2019).
It has focused on all the sites including mobile-friendly or not. Moreover, the basic
needs of a system can be managed using this approach. It has indexed all the websites
according to their suitability for mobile and desktop (Hendler, 2010).
Moreover, the page speed update has used for page speed, which is a ranking factor
for mobile phones. It has optimized slow sites with a low ranking, which is good for the
mobile divides as well as other devices. In addition, the BERT update has provided many
benefits to the companies, which was based on natural language processing (NLP). In
addition, Medic is a core update by Google, which affects sites in the health and wellness
vertical (Huang, Schuehle, Porter, & Youtie, 2015).
In addition, the latest update of the Google search algorithm is snippet De-duping,
which had implications for organic CTR and rank tracking. Moreover, international BERT
roll-out has used for rolling out this update in 70 languages (Hendler, 2010). Google has
provided the best searching approaches for managing all the ranking and indexing, which is
necessary for a different type of user. Besides, mobile devices have used better searching and
many other processes. Most of the processes can be managed using all those updates. In
addition, Google has developed new algorithms for managing their ranking and indexing
systems based on the page rank algorithm (Haynes, 2014).
Furthermore, search algorithms are important for the company as various business
processes. Moreover, basic ranking and indexing issues can be solved using this approach as
well (Patel, 2020). Most of the websites include duplicate data, which is a serious issue in
front of the company. Thus, it is necessary to avoid such type of websites using proper
ranking. However, copyright acts have considered in the search as well. There are many
legalizations in the search as well. It cannot provide search results from restricted sites as
well (Patel, 2020).
Moreover, the ranking algorithm has provided better results for a well-structured
search. However, it has included other algorithms for page speed and indexing. Besides, NLP
has provided better results for searches. Google assistant is a new creation, which has used
NLP and other core algorithms for searching and indexing websites as well. Many users have
preferred NLP search for fast and better results (Haynes, 2014).
![Document Page](https://desklib.com/media/document/docfile/pages/search-technologies/2024/09/29/3c2d4e4d-1002-4c04-b100-28f332b4715e-page-6.webp)
SEARCH TECHNOLOGIES 5
In addition, all the processes can be managed using different types of issues including
basic concepts and optimization. It will improve the search speed of the website and pages as
well (Nelson, 2019). There are many benefits of NLP in the searching and ranking of
websites and webpages. It has used content as well as other formats for indexing webpages.
Tools and techniques have used for improving the ranking of the page as well. However,
better content is required for high ranking and indexing in international places. Additionally,
the indexing of a website depends on its content and formatting. It has included proper rules
and regulations as well (Maksimava, 2017).
Conclusion
In conclusion, the page ranking search algorithm has been used for managing the
results of searches. In addition, Google has provided various updates every year for
optimizing their search engines and ranking of websites as well. In the case of mobile
devices, Google has provided specific updates for managing search results. Moreover, NLP
has provided the best results of defending types of searches as well. Besides, it has introduced
in 70 languages ass well. All the specific results can be managed using SEO. Page ranking
and indexing are important according to their suitable design and architecture. Finally,
Google will analyze various issues and challenges to introduce new updates to resolve those
issues for searching and indexing. It will be better for advertisers and searchers as well.
In addition, all the processes can be managed using different types of issues including
basic concepts and optimization. It will improve the search speed of the website and pages as
well (Nelson, 2019). There are many benefits of NLP in the searching and ranking of
websites and webpages. It has used content as well as other formats for indexing webpages.
Tools and techniques have used for improving the ranking of the page as well. However,
better content is required for high ranking and indexing in international places. Additionally,
the indexing of a website depends on its content and formatting. It has included proper rules
and regulations as well (Maksimava, 2017).
Conclusion
In conclusion, the page ranking search algorithm has been used for managing the
results of searches. In addition, Google has provided various updates every year for
optimizing their search engines and ranking of websites as well. In the case of mobile
devices, Google has provided specific updates for managing search results. Moreover, NLP
has provided the best results of defending types of searches as well. Besides, it has introduced
in 70 languages ass well. All the specific results can be managed using SEO. Page ranking
and indexing are important according to their suitable design and architecture. Finally,
Google will analyze various issues and challenges to introduce new updates to resolve those
issues for searching and indexing. It will be better for advertisers and searchers as well.
![Document Page](https://desklib.com/media/document/docfile/pages/search-technologies/2024/09/29/4dddcd47-d08f-4b9c-9440-6c850422fb46-page-7.webp)
SEARCH TECHNOLOGIES 6
References
3rdisearch. (2019). Technologies that Drive New Age Enterprise Search Tools. Retrieved
February 26, 2020, from https://www.3rdisearch.com/technologies-that-drive-new-
age-enterprise-search-tools
Bower, M. (2016). Deriving a typology of W eb 2.0 learning technologies. British Journal of
Educational Technology, 47(4), 763-777.
Hendler, J. (2010). Web 3.0: The dawn of semantic search. Computer, 77-80.
Huang, Y., Schuehle, J., Porter, A., & Youtie, J. (2015). A systematic method to create search
strategies for emerging technologies based on the Web of Science: illustrated for ‘Big
Data’. Scientometrics, 105(3), 2005-2022.
Maksimava, M. (2017). Google Algorithm Updates Cheat Sheet. Retrieved February 27,
2020, from https://www.link-assistant.com/news/google-algorithm-updates.html
Nelson, P. (2019). From traditional search to AI-powered search & analytics applications.
Retrieved February 26, 2020, from https://www.accenture.com/us-en/blogs/search-
and-content-analytics-blog/enterprise-search-engine-use-cases
PowerSuite. (2017). 8 major Google algorithm updates, explained. Retrieved Feburay 27,
2020, from https://searchengineland.com/8-major-google-algorithm-updates-
explained-282627
SAKOVICH, N. (2020). AI-Powered Search and Recommendation Technologies. Retrieved
February 26, 2020, from https://www.sam-solutions.com/blog/ai-powered-search-and-
recommendation-technologies/
References
3rdisearch. (2019). Technologies that Drive New Age Enterprise Search Tools. Retrieved
February 26, 2020, from https://www.3rdisearch.com/technologies-that-drive-new-
age-enterprise-search-tools
Bower, M. (2016). Deriving a typology of W eb 2.0 learning technologies. British Journal of
Educational Technology, 47(4), 763-777.
Hendler, J. (2010). Web 3.0: The dawn of semantic search. Computer, 77-80.
Huang, Y., Schuehle, J., Porter, A., & Youtie, J. (2015). A systematic method to create search
strategies for emerging technologies based on the Web of Science: illustrated for ‘Big
Data’. Scientometrics, 105(3), 2005-2022.
Maksimava, M. (2017). Google Algorithm Updates Cheat Sheet. Retrieved February 27,
2020, from https://www.link-assistant.com/news/google-algorithm-updates.html
Nelson, P. (2019). From traditional search to AI-powered search & analytics applications.
Retrieved February 26, 2020, from https://www.accenture.com/us-en/blogs/search-
and-content-analytics-blog/enterprise-search-engine-use-cases
PowerSuite. (2017). 8 major Google algorithm updates, explained. Retrieved Feburay 27,
2020, from https://searchengineland.com/8-major-google-algorithm-updates-
explained-282627
SAKOVICH, N. (2020). AI-Powered Search and Recommendation Technologies. Retrieved
February 26, 2020, from https://www.sam-solutions.com/blog/ai-powered-search-and-
recommendation-technologies/
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