國立虎尾科技大學 |

Multi-agent YouTube Content Discovery Bot.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Multi-agent YouTube Content Discovery Bot./
作者:	Solaiman, Ishmam Ahmed.
面頁冊數:	1 online resource (40 pages)
附註:	Source: Masters Abstracts International, Volume: 85-12.
Contained By:	Masters Abstracts International85-12.
標題:	Information technology. -
電子資源:	click for full text (PQDT)
ISBN:	9798382789965

Multi-agent YouTube Content Discovery Bot.
Solaiman, Ishmam Ahmed.

Multi-agent YouTube Content Discovery Bot. - 1 online resource (40 pages)

Source: Masters Abstracts International, Volume: 85-12.

Thesis (M.S.)--University of Arkansas at Little Rock, 2024.

Includes bibliographical references

The YouTube Content Discovery Bot (YTCDB) is an advanced multi-agent system designed to transform the process of finding videos. Traditionally, finding relevant YouTube videos required researchers to manually sift through them. YTCDB utilizes a data-driven approach to autonomously locate videos starting from a given seed video. It encompasses various tasks such as comment scraping, statistics gathering, and channel data collection, which are managed by one or several agents in collaboration. This approach ensures efficient task distribution and coordination, enhancing performance and scalability. The system uses insights from initial video metadata and transcript analyses to drive further video exploration and data gathering. This creates a feedback loop that sharpens the search criteria, enabling a more targeted search through YouTube's vast content. The multi-agent system marks a significant step forward in analytics-driven video discovery, streamlining the process of data collection, analysis, and knowledge extraction efficiently.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382789965Subjects--Topical Terms:

559429
Information technology.
Subjects--Index Terms:

Analytics-driven video discoveryIndex Terms--Genre/Form:

554714
Electronic books.

Multi-agent YouTube Content Discovery Bot.
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504 $a Includes bibliographical references
520 $a The YouTube Content Discovery Bot (YTCDB) is an advanced multi-agent system designed to transform the process of finding videos. Traditionally, finding relevant YouTube videos required researchers to manually sift through them. YTCDB utilizes a data-driven approach to autonomously locate videos starting from a given seed video. It encompasses various tasks such as comment scraping, statistics gathering, and channel data collection, which are managed by one or several agents in collaboration. This approach ensures efficient task distribution and coordination, enhancing performance and scalability. The system uses insights from initial video metadata and transcript analyses to drive further video exploration and data gathering. This creates a feedback loop that sharpens the search criteria, enabling a more targeted search through YouTube's vast content. The multi-agent system marks a significant step forward in analytics-driven video discovery, streamlining the process of data collection, analysis, and knowledge extraction efficiently.
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650 4 $a Social research. $3 1179269
650 4 $a Computer science. $3 573171
653 $a Analytics-driven video discovery
653 $a Multi-agent system
653 $a Recommendation API
653 $a Video content analysis
653 $a YouTube Content Discovery Bot
653 $a YouTube data collection
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