Explainable Recommendation for Repeat Consumption (RecSys 2020)
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The document discusses explainable recommendations for repeat consumption of items a user has already consumed. It proposes generating explanations for recommending previously consumed items using personal, social, and item factors, such as the time since the user last listened to a song or the number of listeners of a song. It evaluated the persuasiveness of nine explanation types through an online survey with over 600 participants.
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Explainable Recommendation for Repeat Consumption (RecSys 2020)
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The best process of finding music updated 2023 doc 19.docx
The process of finding music
can be highly subjective and dependent on personal preferences. What may be considered the “best” process for one individual may not be the same for another. However, there are several common approaches that people use to discover and find new music. Here are some of the commonly used methods:
Streaming Platforms: With the rise of music streaming platforms like Spotify, Apple Music, and YouTube Music, many people find music through curated playlists, personalized recommendations, and algorithm-based suggestions. These platforms analyze users’ listening habits and preferences to provide tailored music suggestions, making it easier to discover new artists and genres.
Online Music Blogs and Magazines: Music blogs and online magazines often feature reviews, interviews, and curated playlists that highlight emerging artists and new releases. Many music enthusiasts follow these platforms to stay updated on the latest trends and recommendations in different genres.
Social Media: Social media platforms, such as Instagram, Twitter, and TikTok, have become popular channels for discovering music. Artists, influencers, and music enthusiasts often share and recommend songs or artists through their profiles, posts, or dedicated music-related accounts. Hashtags and trending challenges can also contribute to music discovery.
Radio and Podcasts: Traditional radio stations and online radio platforms still play a significant role in music discovery. DJs, music programs, and specialty shows feature diverse genres and introduce listeners to new music. Similarly, podcasts focused on music provide platforms for discussions, interviews, and recommendations, offering an avenue to explore different artists and genres.
Recommendations from Friends and Peers: Personal recommendations from friends, family, or colleagues can be a valuable source for discovering new music. Sharing playlists, exchanging music recommendations, or attending live music events together can expose you to different artists and expand your musical horizons.
Music Festivals and Concerts: Attending music festivals and concerts allows you to experience live performances and discover artists you may not have encountered otherwise. Many festivals feature diverse lineups and stages dedicated to different genres, providing opportunities to explore and find new music.
Recommended
Explainable Recommendation for Repeat Consumption (RecSys 2020)
The document summarizes a study that generated explanations for recommending previously consumed music items using three factors: personal, social, and item factors. It involved an online survey of 622 participants. The study found that explanations using personal and social factors were more persuasive than those using only item factors. It also found preferences increased for explanations using higher values on the factors. The researchers conclude music platforms could improve recommendations by using more persuasive explanation styles and setting factor values with higher user preferences.
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can be highly subjective and dependent on personal preferences. What may be considered the “best” process for one individual may not be the same for another. However, there are several common approaches that people use to discover and find new music. Here are some of the commonly used methods:
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Online Music Blogs and Magazines: Music blogs and online magazines often feature reviews, interviews, and curated playlists that highlight emerging artists and new releases. Many music enthusiasts follow these platforms to stay updated on the latest trends and recommendations in different genres.
Social Media: Social media platforms, such as Instagram, Twitter, and TikTok, have become popular channels for discovering music. Artists, influencers, and music enthusiasts often share and recommend songs or artists through their profiles, posts, or dedicated music-related accounts. Hashtags and trending challenges can also contribute to music discovery.
Radio and Podcasts: Traditional radio stations and online radio platforms still play a significant role in music discovery. DJs, music programs, and specialty shows feature diverse genres and introduce listeners to new music. Similarly, podcasts focused on music provide platforms for discussions, interviews, and recommendations, offering an avenue to explore different artists and genres.
Recommendations from Friends and Peers: Personal recommendations from friends, family, or colleagues can be a valuable source for discovering new music. Sharing playlists, exchanging music recommendations, or attending live music events together can expose you to different artists and expand your musical horizons.
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Exploring Music Online Spring 2017 1 Concert .docx
Exploring Music Online | Spring 2017 1
Concert Report Instructions
Description
The purpose of the concert report with its required attendance at a live art music concert is for you to
experience and respond to a work of art as it is created in real time, and to reflect on the experience.
Learning Goals
This assignment is designed to foster the following program goals:
1. Critical thinking
2. Contextualized learning
3. Interdisciplinary thinking
4. Communication skills
5. Information literacy
6. Civic engagement
7. Lifelong learning
This assignment helps students develop artistic literacy through the following area goals:
1. Experience and respond to a creative work of art or creative process.
2. Recognize and interpret a work of art or creative process in a societal, historical or cultural
context.
3. Describe or evaluate a work of art or creative process using appropriate terminology.
4. Demonstrate “appreciation” for the value of art in our lives and society.
5. Function as a member of an audience.
This assignment works towards course goals and objectives by helping students learn to:
4. Provide at least three evidence-based reasons for why some musical works from over a century
ago are still relevant and popular today.
5. Theorize about the relevance of live musical performance today through academic research and
first-hand experience as a critical audience member at a live concert event.
Instructions:
- Attend the approved live art music concert that you wrote about for your proposal.
- Take a picture of yourself at the event. Save your ticket and / or program.
- Construct a report about the event that meets the criteria outlined on the next page.
- Include a cover page with your name, the title and date of the concert, and the name of the piece
you chose to research.
- Submit as an electronic copy to Blackboard by uploading it in the Concert Report folder. Include a
picture of yourself at the event, along with a second picture of your ticket and program.
- No direct quotations should be used. Please summarize or paraphrase information. Cite all sources
using in-text citations. Include a works cited list in MLA or APA format. Here is a citation guide.
http://www.bibme.org/citation-guide
Exploring Music Online | Spring 2017 2
Part One: Research (approx. 300 - 400 words)
Conduct research on a piece of music that was performed at your event, preferably the piece you
listened to for the proposal. Here are some questions you should consider answering in this section:
What is known about this piece? Why was it written? What is the genre of this piece? Does it fit the
expectations for its genre (e.g. number and kind of movements, length etc.)? If you dare, you may also
write about things such as timbre, texture, form, melody, and harmony. This can be difficult with large
pieces because they often feature multiple timbres, tex ...
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本ポスターは2021年11月7日～12日に開催された「22nd International Society for Music Information Retrieval Conference (ISMIR 2021)」の発表資料です。
発表した論文のPDFは以下のURLから閲覧できます。
http://ktsukuda.me/wp-content/uploads/ISMIR2021_Lyrics_tsukuda.pdf
C018211723
This document discusses addressing the new user cold-start problem in recommender systems by using user side information from social networks. It proposes combining traditional collaborative filtering with a social matrix obtained from user's social network information. The collaborative filtering is first used to cluster users based on similarity, then social network information is extracted to create a social matrix, which is combined with user ratings history to provide recommendations for new users. Experimental results showed this approach improved performance over traditional collaborative filtering systems.
Research task 3: Website conventional graphic elements
The document discusses various graphic elements on Absolute Radio's website that help promote the station and increase listeners. These include displaying different listening options, promoting social media platforms, showing the schedule of presenters and songs, listing upcoming songs with artist images and times, featuring news articles with headlines and images, and showing different genre-based stations with representative artists and logos. The graphic elements are intended to provide easy access to information, appeal to different listeners, and help grow Absolute Radio's fanbase and brand recognition.
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The document summarizes an automated system that generates music slideshows using web images based on lyrics analysis. The system extracts query words from song lyrics to retrieve candidate images from Flickr. It then selects optimal images for each lyric line based on social tag analysis and an "impression score" that measures how well images match the overall theme of the song lyrics. Evaluation experiments found the system can automatically generate impressive music slideshows for any input song.
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謝辞：Kiiteおよびニコニコ動画のユーザ、VOCALOID楽曲のクリエータ、VOCALOID楽曲の日毎・週毎の人気度ランキングの作成者、そしてVOCALOID文化とそれに関連した文化を築き、支援し、楽しんでいる全ての人々に感謝します。また、Kiite を共同開発したクリプトン・フューチャー・メディア株式会社、我々の研究活動を初期は暗黙的に（後に明示的に）応援してきたニコニコ動画に感謝します。
本ポスターは2021年11月7日～12日に開催された「22nd International Society for Music Information Retrieval Conference (ISMIR 2021)」の発表資料です。
発表した論文のPDFは以下のURLから閲覧できます。
http://ktsukuda.me/wp-content/uploads/ISMIR2021_KiiteCafe_tsukuda.pdf
Research task 3.pptx
The document discusses various elements on Absolute Radio's website that help promote the station and increase listeners. It describes sections for listening options, social media platforms, a radio schedule with presenters and songs, news articles, and different genre-based stations. The various elements are intended to provide easy access to content, appeal to different audiences, and help viewers identify with the brand.
Research Task 3.docx
The document discusses various elements on Absolute Radio's website that help promote the station and increase listeners. It describes sections for listening options, social media platforms, a radio schedule with presenters and songs, news articles, and different genre-based stations. The various elements are intended to provide easy access to content, appeal to different audiences, and help viewers identify with the brand.
MUSIC APPLICATION (1).pdf
A Software Design Document
On
Honey Beats
(Music Application)
Submitted in partial fulfillment of the requirements
for the award of the degree of
Bachelor of Technology
in
Computer Science and Engineering
Submitted by
Kartik (1719210142)
Abhinav Soni (1719210012)
(G-2020-125)
Under the supervision of
Mr.Ganesh Prasad Pal
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
G.L. BAJAJ INSTITUTE OF TECHNOLOGY & MANAGEMENT
Affiliated to
DR. APJ ABDUL KALAM TECHNICAL UNIVERSITY, LUCKNOW
2020-2021
Abstract
In today’s extremely developed world, each minute, individuals round the globe
specific themselves via numerous platforms on the net. And in every minute, an
enormous quantity of unstructured information is generated. This information is
within the style of text that is gathered from forums and social media websites.
Such information is termed as massive information. User opinions square measure
associated with a vary of topics like politics, latest gadgets and merchandise.
Social media, public sector, private sector, IOT(Internet Of things).
In this document it is explained the development of a project that has been
presented in order to finish the degree in computer engineering. The content
begins with an introduction where are explained the motivations to undertake this
Music Application (Honey Beats) project , by providing them with an IT solution .
From the research of current solutions that have similarities with the
objectives of this project, it has been set a plan to follow in the development of this
project where there have been distributed the tasks to develop over a temporal
framework and there have been evaluated its costs and the impact that the project
has in the different dimensions of the sustainability. This document presents the first
version of the project that have been developed, but over the time there will be
added new features to extend the functionalities and utilities that the solution will
provide to their users.
Acknowledgement
The merciful guidance bestowed to us by the almighty made us stick out this project to
a successful end. We humbly pray with sincere heart for his guidance to continue
forever.
We would like to show our greatest appreciation to , Mr.Ganesh Prasad Pal
project guide at GLBITM, Gr. Noida. We always feel motivated and encouraged every
time by his valuable advice and constant inspiration; without his encouragement and
guidance this project would not have materialized.
Words are inadequate in offering our thanks to the Head of Department of Computer
Science & Engineering at G.L. BAJAJ INSTITUTE OF TECHNOLOGY &
MANAGEMENT for his encouragement and cooperation in carrying out this project
work. The guidance and
A Proposed Framework For Visualising Music Mood Using Texture Image
The document proposes a framework for visualizing music mood using texture images. It discusses related work that has used other visual elements like color, avatars and mood pictures. The proposed framework would map texture characteristics like line, shape and surface to music moods from Russell's circumplex model of affect. Sample texture images would be produced and evaluated by users to validate whether textures can effectively represent moods. The goal is to provide an alternative way to browse digital music collections based on mood and assist users in discovering new songs.
【論文紹介】ProtoMF: Prototype-based Matrix Factorization for Effective and Explain...
2022年10月22日に開催された「RecSys2022論文読み会」の発表資料です。
音楽聴取者の行動分析で理解する人と音楽とのインタラクション
本スライドは2022年8月26日開催の、電子情報通信学会ヒューマンコミュニケーション基礎(HCS)研究会・ヴァーバル・ノンヴァーバル・コミュニケーション研究会(VNV)研究会の招待講演の発表資料です。
https://www.ieice.org/hcg/hcs/wp/?p=943
http://ktsukuda.me/
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Back to the Future: Evolution of Music Moods From 1992 to 2022
The document describes a study analyzing trends in music moods from 1992 to 2022 using Billboard's top 100 songs each year. The study retrieved audio features like valence and energy for each song from the Spotify API to classify songs into eight moods. Key findings were that excited songs have dominated in the last 5 years, while happy songs have diminished. Overall, no strong mood trends emerged over the full 30-year period. The study aims to better understand how music moods have evolved and provides a foundation for future analysis comparing genres or using different mood classification models.
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A mobile music streaming app has been transformed into an entertainment business. According to Mobile app developers in NYC, 75% of recorded music industry revenue in 2018 came from streaming music.
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Exploring Music Online Spring 2017 1 Concert .docx
Exploring Music Online | Spring 2017 1
Concert Report Instructions
Description
The purpose of the concert report with its required attendance at a live art music concert is for you to
experience and respond to a work of art as it is created in real time, and to reflect on the experience.
Learning Goals
This assignment is designed to foster the following program goals:
1. Critical thinking
2. Contextualized learning
3. Interdisciplinary thinking
4. Communication skills
5. Information literacy
6. Civic engagement
7. Lifelong learning
This assignment helps students develop artistic literacy through the following area goals:
1. Experience and respond to a creative work of art or creative process.
2. Recognize and interpret a work of art or creative process in a societal, historical or cultural
context.
3. Describe or evaluate a work of art or creative process using appropriate terminology.
4. Demonstrate “appreciation” for the value of art in our lives and society.
5. Function as a member of an audience.
This assignment works towards course goals and objectives by helping students learn to:
4. Provide at least three evidence-based reasons for why some musical works from over a century
ago are still relevant and popular today.
5. Theorize about the relevance of live musical performance today through academic research and
first-hand experience as a critical audience member at a live concert event.
Instructions:
- Attend the approved live art music concert that you wrote about for your proposal.
- Take a picture of yourself at the event. Save your ticket and / or program.
- Construct a report about the event that meets the criteria outlined on the next page.
- Include a cover page with your name, the title and date of the concert, and the name of the piece
you chose to research.
- Submit as an electronic copy to Blackboard by uploading it in the Concert Report folder. Include a
picture of yourself at the event, along with a second picture of your ticket and program.
- No direct quotations should be used. Please summarize or paraphrase information. Cite all sources
using in-text citations. Include a works cited list in MLA or APA format. Here is a citation guide.
http://www.bibme.org/citation-guide
Exploring Music Online | Spring 2017 2
Part One: Research (approx. 300 - 400 words)
Conduct research on a piece of music that was performed at your event, preferably the piece you
listened to for the proposal. Here are some questions you should consider answering in this section:
What is known about this piece? Why was it written? What is the genre of this piece? Does it fit the
expectations for its genre (e.g. number and kind of movements, length etc.)? If you dare, you may also
write about things such as timbre, texture, form, melody, and harmony. This can be difficult with large
pieces because they often feature multiple timbres, tex ...
How to Discover New Music in 2023 5 Best Apps
Spotify is the newest and greatest way to find entirely new and offbeat music. This music streaming service is so efficient at doing so because of a special recommendation engine, Bart, that uses an AI system to recommend music based on a listener’s taste.https://audiospeaks.com/how-to-discover-new-music/
MULHER@AVI2012
This document proposes an interactive tool called MULHER for exploring music listening histories. It describes issues with existing visualizations like being static, lacking interactivity, and scaling issues. MULHER uses a timeline-based visualization combined with other synchronized views to allow interactive browsing, filtering, and detection of listening patterns. An evaluation with users found the timeline mechanism was effective for exploration. Context information and representing the "age" of songs also helped convey listening habits. The tool enabled users to analyze their profiles and infer hidden behaviors from their music listening data.
Music 4.5: The value of playlists – for the record labels with Simon Rugg, Na...
Music 4.5: The value of playlists – for the record labels with Simon Rugg, Na...MME 4.5 / Music 4.5 / 2Pears
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Value, interaction, traction…as digital radio and streaming music radio-like services boom they have become a significant revenue stream for the music rights industry with playlists being bought and sold. What are the implications for the growing playlist industry?
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発表した論文のPDFは以下のURLから閲覧できます。
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C018211723
This document discusses addressing the new user cold-start problem in recommender systems by using user side information from social networks. It proposes combining traditional collaborative filtering with a social matrix obtained from user's social network information. The collaborative filtering is first used to cluster users based on similarity, then social network information is extracted to create a social matrix, which is combined with user ratings history to provide recommendations for new users. Experimental results showed this approach improved performance over traditional collaborative filtering systems.
Research task 3: Website conventional graphic elements
The document discusses various graphic elements on Absolute Radio's website that help promote the station and increase listeners. These include displaying different listening options, promoting social media platforms, showing the schedule of presenters and songs, listing upcoming songs with artist images and times, featuring news articles with headlines and images, and showing different genre-based stations with representative artists and logos. The graphic elements are intended to provide easy access to information, appeal to different listeners, and help grow Absolute Radio's fanbase and brand recognition.
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
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発表した論文のPDFは以下のURLから閲覧できます。
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The document discusses various elements on Absolute Radio's website that help promote the station and increase listeners. It describes sections for listening options, social media platforms, a radio schedule with presenters and songs, news articles, and different genre-based stations. The various elements are intended to provide easy access to content, appeal to different audiences, and help viewers identify with the brand.
Research Task 3.docx
The document discusses various elements on Absolute Radio's website that help promote the station and increase listeners. It describes sections for listening options, social media platforms, a radio schedule with presenters and songs, news articles, and different genre-based stations. The various elements are intended to provide easy access to content, appeal to different audiences, and help viewers identify with the brand.
MUSIC APPLICATION (1).pdf
A Software Design Document
On
Honey Beats
(Music Application)
Submitted in partial fulfillment of the requirements
for the award of the degree of
Bachelor of Technology
in
Computer Science and Engineering
Submitted by
Kartik (1719210142)
Abhinav Soni (1719210012)
(G-2020-125)
Under the supervision of
Mr.Ganesh Prasad Pal
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
G.L. BAJAJ INSTITUTE OF TECHNOLOGY & MANAGEMENT
Affiliated to
DR. APJ ABDUL KALAM TECHNICAL UNIVERSITY, LUCKNOW
2020-2021
Abstract
In today’s extremely developed world, each minute, individuals round the globe
specific themselves via numerous platforms on the net. And in every minute, an
enormous quantity of unstructured information is generated. This information is
within the style of text that is gathered from forums and social media websites.
Such information is termed as massive information. User opinions square measure
associated with a vary of topics like politics, latest gadgets and merchandise.
Social media, public sector, private sector, IOT(Internet Of things).
In this document it is explained the development of a project that has been
presented in order to finish the degree in computer engineering. The content
begins with an introduction where are explained the motivations to undertake this
Music Application (Honey Beats) project , by providing them with an IT solution .
From the research of current solutions that have similarities with the
objectives of this project, it has been set a plan to follow in the development of this
project where there have been distributed the tasks to develop over a temporal
framework and there have been evaluated its costs and the impact that the project
has in the different dimensions of the sustainability. This document presents the first
version of the project that have been developed, but over the time there will be
added new features to extend the functionalities and utilities that the solution will
provide to their users.
Acknowledgement
The merciful guidance bestowed to us by the almighty made us stick out this project to
a successful end. We humbly pray with sincere heart for his guidance to continue
forever.
We would like to show our greatest appreciation to , Mr.Ganesh Prasad Pal
project guide at GLBITM, Gr. Noida. We always feel motivated and encouraged every
time by his valuable advice and constant inspiration; without his encouragement and
guidance this project would not have materialized.
Words are inadequate in offering our thanks to the Head of Department of Computer
Science & Engineering at G.L. BAJAJ INSTITUTE OF TECHNOLOGY &
MANAGEMENT for his encouragement and cooperation in carrying out this project
work. The guidance and
A Proposed Framework For Visualising Music Mood Using Texture Image
The document proposes a framework for visualizing music mood using texture images. It discusses related work that has used other visual elements like color, avatars and mood pictures. The proposed framework would map texture characteristics like line, shape and surface to music moods from Russell's circumplex model of affect. Sample texture images would be produced and evaluated by users to validate whether textures can effectively represent moods. The goal is to provide an alternative way to browse digital music collections based on mood and assist users in discovering new songs.
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Back to the Future: Evolution of Music Moods From 1992 to 2022
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Exploring Music Online Spring 2017 1 Concert .docx
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Music 4.5: The value of playlists – for the record labels with Simon Rugg, Na...
Toward an Understanding of Lyrics-viewing Behavior While Listening to Music o...
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Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityUniversity of Rennes, INSA Rennes, Inria/IRISA, CNRS
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Equivariant neural networks and representation theory
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
Randomised Optimisation Algorithms in DAPHNE
Slides from talk:
Aleš Zamuda: Randomised Optimisation Algorithms in DAPHNE .
Austrian-Slovenian HPC Meeting 2024 – ASHPC24, Seeblickhotel Grundlsee in Austria, 10–13 June 2024
https://ashpc.eu/
8.Isolation of pure cultures and preservation of cultures.pdf
Isolation of pure culture, its various method.
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...Abdul Wali Khan University Mardan,kP,Pakistan
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
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The debris of the ‘last major merger’ is dynamically young
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
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The debris of the ‘last major merger’ is dynamically young
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Explainable Recommendation for Repeat Consumption (RecSys 2020)
- 1. Kosetsu Tsukuda and Masataka Goto National Institute of Advanced Industrial Science and Technology (AIST) Japan 14th ACM Conference on Recommender Systems (RecSys 2020) Explainable Recommendation for Repeat Consumption
- 2. Explainable recommendation 2 Existing studies: generate explanations for recommending novel items Our study: generate explanations for recommending items that a user has already consumed Consumed items Novel items Explanation Consumed items Novel items Explanation
- 3. Example explanation 3 We recommend “Shake It Off” because exactly five years have passed since you listened to it for the first time. The user listens to “Shake It Off” because she can feel nostalgia by thinking back to those days when she often listened to it The service can encourage users to listen to not only novel songs but also already consumed songs A user has listened to “Shake It Off” on a music streaming service
- 4. Factors for explanations 4 To generate explanations for consumed items, we consider three factors Personal factor Social factor Item factor
- 5. Factors for explanations 5 Exactly three years have passed since you listened to the recommended song last. Personal factor considers the interaction between a target user and a recommended item To generate explanations for consumed items, we consider three factors Personal factor Social factor Item factor
- 6. Factors for explanations 6 Just now, the number of unique users listening to the recommended song reached exactly 100 thousand. Social factor considers the interaction between all users on the service and a recommended item To generate explanations for consumed items, we consider three factors Personal factor Social factor Item factor
- 7. Factors for explanations 7 Item factor is an item-specific factor that is not related to the users who consumed a recommended item Today, the artist performed the recommended song at a live concert. To generate explanations for consumed items, we consider three factors Personal factor Social factor Item factor
- 8. Evaluations 8 Propose nine kinds of explanations in music recommendation Evaluate the persuasiveness of each explanation by conducting an online survey involving 622 participants