1 |
DENIED
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ROLE_USER
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null |
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Show voter details
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2 |
DENIED
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moderate
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App\Entity\EntryComment {#2026
+user: App\Entity\User {#265 …}
+entry: Proxies\__CG__\App\Entity\Entry {#2360 …}
+magazine: Proxies\__CG__\App\Entity\Magazine {#2454 …}
+image: null
+parent: Proxies\__CG__\App\Entity\EntryComment {#1874 …}
+root: Proxies\__CG__\App\Entity\EntryComment {#1907 …}
+body: "While probably computationally too expensive, I would like some system where up/downvoting isn't about objective quality, but only about personal preference. Essentially the system would "cluster" up/downvote behavior from users like youtube clusters like/dislike of videos and then recommend posts which people who like the same content as you like and people who dislike content you like dislike. I am not sure how many clusters/dimensions you would need though and I guess individualized sorting would quickly become computationally prohibitive as you would have to do a scalar multiplication of the post-dimensions with the user-dimensions for each post and then sort the stuff."
+lang: "en"
+isAdult: false
+favouriteCount: 3
+score: 0
+lastActive: DateTime @1687542823 {#2029
date: 2023-06-23 19:53:43.0 +02:00
}
+ip: null
+tags: null
+mentions: [
"@gylotip@lemmy.ml"
"@Leafeytea@kbin.social"
"@BraveSirZaphod@kbin.social"
]
+children: Doctrine\ORM\PersistentCollection {#1407 …}
+nested: Doctrine\ORM\PersistentCollection {#2391 …}
+votes: Doctrine\ORM\PersistentCollection {#2369 …}
+reports: Doctrine\ORM\PersistentCollection {#2392 …}
+favourites: Doctrine\ORM\PersistentCollection {#2462 …}
+notifications: Doctrine\ORM\PersistentCollection {#2453 …}
-id: 3306
-bodyTs: "'becom':78 'behavior':29 'cluster':27,34 'clusters/dimensions':66 'comput':3,79 'content':48,56 'dimens':94,99 'dislik':55,59 'essenti':23 'expens':5 'guess':73 'individu':74 'isn':13 'like':8,32,45,51,58 'like/dislike':35 'mani':65 'multipl':89 'need':69 'object':16 'peopl':43,53 'person':21 'post':41,93,102 'post-dimens':92 'prefer':22 'probabl':2 'prohibit':80 'qualiti':17 'quick':77 'recommend':40 'scalar':88 'sort':75,105 'stuff':107 'sure':63 'system':10,25 'though':70 'up/downvote':28 'up/downvoting':12 'user':31,98 'user-dimens':97 'video':37 'would':7,26,68,76,83 'youtub':33"
+ranking: 0
+commentCount: 0
+upVotes: 0
+downVotes: 0
+visibility: "visible "
+apId: "https://kbin.social/m/asklemmy@lemmy.ml/t/83022/-/comment/356967"
+editedAt: null
+createdAt: DateTimeImmutable @1687542823 {#2359
date: 2023-06-23 19:53:43.0 +02:00
}
} |
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Show voter details
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3 |
DENIED
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edit
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App\Entity\EntryComment {#2026
+user: App\Entity\User {#265 …}
+entry: Proxies\__CG__\App\Entity\Entry {#2360 …}
+magazine: Proxies\__CG__\App\Entity\Magazine {#2454 …}
+image: null
+parent: Proxies\__CG__\App\Entity\EntryComment {#1874 …}
+root: Proxies\__CG__\App\Entity\EntryComment {#1907 …}
+body: "While probably computationally too expensive, I would like some system where up/downvoting isn't about objective quality, but only about personal preference. Essentially the system would "cluster" up/downvote behavior from users like youtube clusters like/dislike of videos and then recommend posts which people who like the same content as you like and people who dislike content you like dislike. I am not sure how many clusters/dimensions you would need though and I guess individualized sorting would quickly become computationally prohibitive as you would have to do a scalar multiplication of the post-dimensions with the user-dimensions for each post and then sort the stuff."
+lang: "en"
+isAdult: false
+favouriteCount: 3
+score: 0
+lastActive: DateTime @1687542823 {#2029
date: 2023-06-23 19:53:43.0 +02:00
}
+ip: null
+tags: null
+mentions: [
"@gylotip@lemmy.ml"
"@Leafeytea@kbin.social"
"@BraveSirZaphod@kbin.social"
]
+children: Doctrine\ORM\PersistentCollection {#1407 …}
+nested: Doctrine\ORM\PersistentCollection {#2391 …}
+votes: Doctrine\ORM\PersistentCollection {#2369 …}
+reports: Doctrine\ORM\PersistentCollection {#2392 …}
+favourites: Doctrine\ORM\PersistentCollection {#2462 …}
+notifications: Doctrine\ORM\PersistentCollection {#2453 …}
-id: 3306
-bodyTs: "'becom':78 'behavior':29 'cluster':27,34 'clusters/dimensions':66 'comput':3,79 'content':48,56 'dimens':94,99 'dislik':55,59 'essenti':23 'expens':5 'guess':73 'individu':74 'isn':13 'like':8,32,45,51,58 'like/dislike':35 'mani':65 'multipl':89 'need':69 'object':16 'peopl':43,53 'person':21 'post':41,93,102 'post-dimens':92 'prefer':22 'probabl':2 'prohibit':80 'qualiti':17 'quick':77 'recommend':40 'scalar':88 'sort':75,105 'stuff':107 'sure':63 'system':10,25 'though':70 'up/downvote':28 'up/downvoting':12 'user':31,98 'user-dimens':97 'video':37 'would':7,26,68,76,83 'youtub':33"
+ranking: 0
+commentCount: 0
+upVotes: 0
+downVotes: 0
+visibility: "visible "
+apId: "https://kbin.social/m/asklemmy@lemmy.ml/t/83022/-/comment/356967"
+editedAt: null
+createdAt: DateTimeImmutable @1687542823 {#2359
date: 2023-06-23 19:53:43.0 +02:00
}
} |
|
Show voter details
|
4 |
DENIED
|
moderate
|
App\Entity\EntryComment {#2026
+user: App\Entity\User {#265 …}
+entry: Proxies\__CG__\App\Entity\Entry {#2360 …}
+magazine: Proxies\__CG__\App\Entity\Magazine {#2454 …}
+image: null
+parent: Proxies\__CG__\App\Entity\EntryComment {#1874 …}
+root: Proxies\__CG__\App\Entity\EntryComment {#1907 …}
+body: "While probably computationally too expensive, I would like some system where up/downvoting isn't about objective quality, but only about personal preference. Essentially the system would "cluster" up/downvote behavior from users like youtube clusters like/dislike of videos and then recommend posts which people who like the same content as you like and people who dislike content you like dislike. I am not sure how many clusters/dimensions you would need though and I guess individualized sorting would quickly become computationally prohibitive as you would have to do a scalar multiplication of the post-dimensions with the user-dimensions for each post and then sort the stuff."
+lang: "en"
+isAdult: false
+favouriteCount: 3
+score: 0
+lastActive: DateTime @1687542823 {#2029
date: 2023-06-23 19:53:43.0 +02:00
}
+ip: null
+tags: null
+mentions: [
"@gylotip@lemmy.ml"
"@Leafeytea@kbin.social"
"@BraveSirZaphod@kbin.social"
]
+children: Doctrine\ORM\PersistentCollection {#1407 …}
+nested: Doctrine\ORM\PersistentCollection {#2391 …}
+votes: Doctrine\ORM\PersistentCollection {#2369 …}
+reports: Doctrine\ORM\PersistentCollection {#2392 …}
+favourites: Doctrine\ORM\PersistentCollection {#2462 …}
+notifications: Doctrine\ORM\PersistentCollection {#2453 …}
-id: 3306
-bodyTs: "'becom':78 'behavior':29 'cluster':27,34 'clusters/dimensions':66 'comput':3,79 'content':48,56 'dimens':94,99 'dislik':55,59 'essenti':23 'expens':5 'guess':73 'individu':74 'isn':13 'like':8,32,45,51,58 'like/dislike':35 'mani':65 'multipl':89 'need':69 'object':16 'peopl':43,53 'person':21 'post':41,93,102 'post-dimens':92 'prefer':22 'probabl':2 'prohibit':80 'qualiti':17 'quick':77 'recommend':40 'scalar':88 'sort':75,105 'stuff':107 'sure':63 'system':10,25 'though':70 'up/downvote':28 'up/downvoting':12 'user':31,98 'user-dimens':97 'video':37 'would':7,26,68,76,83 'youtub':33"
+ranking: 0
+commentCount: 0
+upVotes: 0
+downVotes: 0
+visibility: "visible "
+apId: "https://kbin.social/m/asklemmy@lemmy.ml/t/83022/-/comment/356967"
+editedAt: null
+createdAt: DateTimeImmutable @1687542823 {#2359
date: 2023-06-23 19:53:43.0 +02:00
}
} |
|
Show voter details
|