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"base:title": "0oo - Window/tab merge"
"og:title": "Window/tab merge"
"og:description": "What if you could cross reference websites automatically? Essentially form a join between different sites of data."
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"item:title": "Window/tab merge"
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"item:body": |
    What if you could cross reference websites automatically?
    
    Essentially form a join between different sites of data.
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"item:owner": "chronological"
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"item:method:items":
  - "id": "i-66001"
    "title": "Window walk optimisation"
    "summary": "You want to find a job that is near your home transport wise, near a supermarket, doctors  that pays the most and has the cheapest house to buy or rent"
    "url": "/method/66001/"
    "owner": "chronological"
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    "ownerlink": "/user/198/chronological"
    "created": "2021-09-04T12:36:15.850352"
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    <a href="/accounts/login/">Please, <u>log in</u>.</a>
# <!-- COMMENTS
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"item:comment:items":
  - "id": "r-253001"
    "text": |
        Would this automatically make view of tables of aggregated data from all the open tabs? I think we do need this, and not just from open tabs, but from entire browsing histories.
    "owner": "Mindey"
    "ownerlink": "/user/147/Mindey"
    "permalink": "/intent/77001/?l=en#r-253001"
    "created": "2022-04-05T06:29:37.060501"
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  - "id": "r-254001"
    "text": |
        I suspect it could all be generated lazily. Each tab provides an API for data access and retrieval which maps to the site and what's on screen. The browser would also provide some namespaces for history and downloads and historical page content.
    "owner": "chronological"
    "ownerlink": "/user/198/chronological"
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    "created": "2022-04-05T06:31:20.918014"
    "vote": ""
  - "id": "r-255001"
    "text": |
        Of course, this needs someone to learn to parse arbitrary page information into reasonably informative tabular form. I had come up with a format, namely, "metaformat" to represent such arbitrary data source ontological normalizations, that could work well to represent a training set for a machine learning task to create such model that does such tabularization automatically. However, without such ML model, we would have to have humans write parsers and ontologically normalize each page, which is prohibitively time-consuming.
    "owner": "Mindey"
    "ownerlink": "/user/147/Mindey"
    "permalink": "/intent/77001/?l=en#r-255001"
    "created": "2022-04-05T06:37:37.710530"
    "vote": ""
  - "id": "r-256001"
    "text": |
        Linux has DBus for generic interprocess communication and gconf-editor a registry like editor uses Dbus to interrogate available configuration keys.
        
        Page normalisation will be a problem for on screen information. Would need to clean up data before piping to cross referencing systems.
    "owner": "chronological"
    "ownerlink": "/user/198/chronological"
    "permalink": "/intent/77001/?l=en#r-256001"
    "created": "2022-04-05T06:43:08.153057"
    "vote": ""
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