Developing Products Update-Alert System for e-Commerce Websites Users Using HTML Data and Web Scraping Technique
International Journal on Natural Language Computing 2021 Websites are regarded as domains of limitless information which anyone and everyone can access. The new trend of technology put us to change the way we are doing our business. The Internet now is fastly becoming a new place for business and th...
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| creator | Onyenwe, Ikechukwu Onyedinma, Ebele Nwafor, Chidinma Agbata, Obinna |
| description | International Journal on Natural Language Computing 2021 Websites are regarded as domains of limitless information which anyone and
everyone can access. The new trend of technology put us to change the way we
are doing our business. The Internet now is fastly becoming a new place for
business and the advancement in this technology gave rise to the number of
e-commerce websites. This made the lifestyle of marketers/vendors, retailers
and consumers (collectively regarded as users in this paper) easy, because it
provides easy platforms to sale/order items through the internet. This also
requires that the users will have to spend a lot of time and effort to search
for the best product deals, products updates and offers on e-commerce websites.
They have to filter and compare search results by themselves which takes a lot
of time and there are chances of ambiguous results. In this paper, we applied
web crawling and scraping methods on an e-commerce website to get HTML data for
identifying products updates based on the current time. The HTML data is
preprocessed to extract details of the products such as name, price, post date
and time, etc. to serve as useful information for users. |
| doi_str_mv | 10.48550/arxiv.2109.00656 |
| format | Article |
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everyone can access. The new trend of technology put us to change the way we
are doing our business. The Internet now is fastly becoming a new place for
business and the advancement in this technology gave rise to the number of
e-commerce websites. This made the lifestyle of marketers/vendors, retailers
and consumers (collectively regarded as users in this paper) easy, because it
provides easy platforms to sale/order items through the internet. This also
requires that the users will have to spend a lot of time and effort to search
for the best product deals, products updates and offers on e-commerce websites.
They have to filter and compare search results by themselves which takes a lot
of time and there are chances of ambiguous results. In this paper, we applied
web crawling and scraping methods on an e-commerce website to get HTML data for
identifying products updates based on the current time. The HTML data is
preprocessed to extract details of the products such as name, price, post date
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everyone can access. The new trend of technology put us to change the way we
are doing our business. The Internet now is fastly becoming a new place for
business and the advancement in this technology gave rise to the number of
e-commerce websites. This made the lifestyle of marketers/vendors, retailers
and consumers (collectively regarded as users in this paper) easy, because it
provides easy platforms to sale/order items through the internet. This also
requires that the users will have to spend a lot of time and effort to search
for the best product deals, products updates and offers on e-commerce websites.
They have to filter and compare search results by themselves which takes a lot
of time and there are chances of ambiguous results. In this paper, we applied
web crawling and scraping methods on an e-commerce website to get HTML data for
identifying products updates based on the current time. The HTML data is
preprocessed to extract details of the products such as name, price, post date
and time, etc. to serve as useful information for users.</description><subject>Computer Science - Information Retrieval</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj81OhDAUhbtxYUYfwJV9gWJLocBywqhjwkSTwbgkt-1FSfizdCbO2wvo5tyTm5Mv-Qi5EzyI0jjmD-B-mnMQCp4FnKtYXZNxh2dsh7HpP-mbG-zJ-Im-jxY8sm2LztPjZfLY0XpwFFk-dB06g_QD9dR4nLcTuiUXwL48FHQHHij0dpnQo3Gwsks0X33zfcIbclVDO-Ht_92Q8umxzPeseH1-ybcFA5UoJmxsa2W0VBpEkkgdCiuiDHUK81dByhM5V1RSRlqJLAQEjdJmibQWQckNuf_DrsrV6JoO3KVa1KtVXf4Cci5VGg</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Onyenwe, Ikechukwu</creator><creator>Onyedinma, Ebele</creator><creator>Nwafor, Chidinma</creator><creator>Agbata, Obinna</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20210901</creationdate><title>Developing Products Update-Alert System for e-Commerce Websites Users Using HTML Data and Web Scraping Technique</title><author>Onyenwe, Ikechukwu ; Onyedinma, Ebele ; Nwafor, Chidinma ; Agbata, Obinna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a676-1d5df6cb36ba1773b21d149eb8a6cb6a80738a6e6334b6192aeabe3d973ddea63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Computer Science - Information Retrieval</topic><toplevel>online_resources</toplevel><creatorcontrib>Onyenwe, Ikechukwu</creatorcontrib><creatorcontrib>Onyedinma, Ebele</creatorcontrib><creatorcontrib>Nwafor, Chidinma</creatorcontrib><creatorcontrib>Agbata, Obinna</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Onyenwe, Ikechukwu</au><au>Onyedinma, Ebele</au><au>Nwafor, Chidinma</au><au>Agbata, Obinna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Developing Products Update-Alert System for e-Commerce Websites Users Using HTML Data and Web Scraping Technique</atitle><date>2021-09-01</date><risdate>2021</risdate><abstract>International Journal on Natural Language Computing 2021 Websites are regarded as domains of limitless information which anyone and
everyone can access. The new trend of technology put us to change the way we
are doing our business. The Internet now is fastly becoming a new place for
business and the advancement in this technology gave rise to the number of
e-commerce websites. This made the lifestyle of marketers/vendors, retailers
and consumers (collectively regarded as users in this paper) easy, because it
provides easy platforms to sale/order items through the internet. This also
requires that the users will have to spend a lot of time and effort to search
for the best product deals, products updates and offers on e-commerce websites.
They have to filter and compare search results by themselves which takes a lot
of time and there are chances of ambiguous results. In this paper, we applied
web crawling and scraping methods on an e-commerce website to get HTML data for
identifying products updates based on the current time. The HTML data is
preprocessed to extract details of the products such as name, price, post date
and time, etc. to serve as useful information for users.</abstract><doi>10.48550/arxiv.2109.00656</doi><oa>free_for_read</oa></addata></record> |
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| source | arXiv.org |
| subjects | Computer Science - Information Retrieval |
| title | Developing Products Update-Alert System for e-Commerce Websites Users Using HTML Data and Web Scraping Technique |
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