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ALARM

The ALARM platform aims to dynamically and automatically recommend links that are relevant to web page browsers. In addition, the proposed platform provides a website monitoring tool to help owners / publishers visualize referrer activities, as well as assist them in metric-based evaluation (efficiency, number of links generated by referrers, amount of accesses in these, etc). A mechanism for creating recommendations was also provided. With this, along with the evaluation of the recommendations, the editor is given the possibility to improve the existing algorithms. This way, it guarantees a greater autonomy on the part of the users of the platform, since not necessarily an update of the platform has to be made for use of new recommendations.

Getting Started

To use the platform follow the instructions below.

Prerequisites

For the proper functioning of this plafatorma it is necessary to use a GNU / Unix system, in addition the following programs must be installed.

Python 3
Virtualenv3
Sqlite3

Installing

Installing the libraries and creating the Python runtime environment for platform operation can be done through the 'setup.sh' script with the command below.

pip3 install virtualenv
./setup.sh -s

Deployment

To perform the deploy of the application the command below can be executed.

./setup.sh -r

Built With

Authors

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

About

A Light Application for Recommendation and Monitoring

Topics

djangoplataformpython3recommendation-systemscientific-researchuem

Resources

Readme
MIT license
Activity

Stars

0 stars

Watchers

1 watching

Forks

2 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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ALARM
The ALARM platform aims to dynamically and automatically recommend links that are relevant to web page browsers. In addition, the proposed platform provides a website monitoring tool to help owners / publishers visualize referrer activities, as well as assist them in metric-based evaluation (efficiency, number of links generated by referrers, amount of accesses in these, etc).
A mechanism for creating recommendations was also provided. With this, along with the evaluation of the recommendations, the editor is given the possibility to improve the existing algorithms. This way, it guarantees a greater autonomy on the part of the users of the platform, since not necessarily an update of the platform has to be made for use of new recommendations.
Getting Started
To use the platform follow the instructions below.
Prerequisites
For the proper functioning of this plafatorma it is necessary to use a GNU / Unix system, in addition the following programs must be installed.
Python 3
Virtualenv3
Sqlite3

Installing
Installing the libraries and creating the Python runtime environment for platform operation can be done through the 'setup.sh' script with the command below.
pip3 install virtualenv
./setup.sh -s

Deployment
To perform the deploy of the application the command below can be executed.
./setup.sh -r

Built With
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
About
A Light Application for Recommendation and Monitoring
Topics
djangoplataformpython3recommendation-systemscientific-researchuem
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
ALARM
The ALARM platform aims to dynamically and automatically recommend links that are relevant to web page browsers. In addition, the proposed platform provides a website monitoring tool to help owners / publishers visualize referrer activities, as well as assist them in metric-based evaluation (efficiency, number of links generated by referrers, amount of accesses in these, etc).
A mechanism for creating recommendations was also provided. With this, along with the evaluation of the recommendations, the editor is given the possibility to improve the existing algorithms. This way, it guarantees a greater autonomy on the part of the users of the platform, since not necessarily an update of the platform has to be made for use of new recommendations.
Getting Started
To use the platform follow the instructions below.
Prerequisites
For the proper functioning of this plafatorma it is necessary to use a GNU / Unix system, in addition the following programs must be installed.
Python 3
Virtualenv3
Sqlite3

Installing
Installing the libraries and creating the Python runtime environment for platform operation can be done through the 'setup.sh' script with the command below.
pip3 install virtualenv
./setup.sh -s

Deployment
To perform the deploy of the application the command below can be executed.
./setup.sh -r

Built With
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
About
A Light Application for Recommendation and Monitoring
Topics
djangoplataformpython3recommendation-systemscientific-researchuem
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
ALARM
The ALARM platform aims to dynamically and automatically recommend links that are relevant to web page browsers. In addition, the proposed platform provides a website monitoring tool to help owners / publishers visualize referrer activities, as well as assist them in metric-based evaluation (efficiency, number of links generated by referrers, amount of accesses in these, etc).
A mechanism for creating recommendations was also provided. With this, along with the evaluation of the recommendations, the editor is given the possibility to improve the existing algorithms. This way, it guarantees a greater autonomy on the part of the users of the platform, since not necessarily an update of the platform has to be made for use of new recommendations.
Getting Started
To use the platform follow the instructions below.
Prerequisites
For the proper functioning of this plafatorma it is necessary to use a GNU / Unix system, in addition the following programs must be installed.
Python 3
Virtualenv3
Sqlite3

Installing
Installing the libraries and creating the Python runtime environment for platform operation can be done through the 'setup.sh' script with the command below.
pip3 install virtualenv
./setup.sh -s

Deployment
To perform the deploy of the application the command below can be executed.
./setup.sh -r

Built With
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
About
A Light Application for Recommendation and Monitoring
Topics
djangoplataformpython3recommendation-systemscientific-researchuem
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
ALARM
The ALARM platform aims to dynamically and automatically recommend links that are relevant to web page browsers. In addition, the proposed platform provides a website monitoring tool to help owners / publishers visualize referrer activities, as well as assist them in metric-based evaluation (efficiency, number of links generated by referrers, amount of accesses in these, etc).
A mechanism for creating recommendations was also provided. With this, along with the evaluation of the recommendations, the editor is given the possibility to improve the existing algorithms. This way, it guarantees a greater autonomy on the part of the users of the platform, since not necessarily an update of the platform has to be made for use of new recommendations.
Getting Started
To use the platform follow the instructions below.
Prerequisites
For the proper functioning of this plafatorma it is necessary to use a GNU / Unix system, in addition the following programs must be installed.
Python 3
Virtualenv3
Sqlite3

Installing
Installing the libraries and creating the Python runtime environment for platform operation can be done through the 'setup.sh' script with the command below.
pip3 install virtualenv
./setup.sh -s

Deployment
To perform the deploy of the application the command below can be executed.
./setup.sh -r

Built With
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
About
A Light Application for Recommendation and Monitoring
Topics
djangoplataformpython3recommendation-systemscientific-researchuem
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
ALARM
The ALARM platform aims to dynamically and automatically recommend links that are relevant to web page browsers. In addition, the proposed platform provides a website monitoring tool to help owners / publishers visualize referrer activities, as well as assist them in metric-based evaluation (efficiency, number of links generated by referrers, amount of accesses in these, etc).
A mechanism for creating recommendations was also provided. With this, along with the evaluation of the recommendations, the editor is given the possibility to improve the existing algorithms. This way, it guarantees a greater autonomy on the part of the users of the platform, since not necessarily an update of the platform has to be made for use of new recommendations.
Getting Started
To use the platform follow the instructions below.
Prerequisites
For the proper functioning of this plafatorma it is necessary to use a GNU / Unix system, in addition the following programs must be installed.
Python 3
Virtualenv3
Sqlite3

Installing
Installing the libraries and creating the Python runtime environment for platform operation can be done through the 'setup.sh' script with the command below.
pip3 install virtualenv
./setup.sh -s

Deployment
To perform the deploy of the application the command below can be executed.
./setup.sh -r

Built With
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
About
A Light Application for Recommendation and Monitoring
Topics
djangoplataformpython3recommendation-systemscientific-researchuem
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
ALARM
The ALARM platform aims to dynamically and automatically recommend links that are relevant to web page browsers. In addition, the proposed platform provides a website monitoring tool to help owners / publishers visualize referrer activities, as well as assist them in metric-based evaluation (efficiency, number of links generated by referrers, amount of accesses in these, etc).
A mechanism for creating recommendations was also provided. With this, along with the evaluation of the recommendations, the editor is given the possibility to improve the existing algorithms. This way, it guarantees a greater autonomy on the part of the users of the platform, since not necessarily an update of the platform has to be made for use of new recommendations.
Getting Started
To use the platform follow the instructions below.
Prerequisites
For the proper functioning of this plafatorma it is necessary to use a GNU / Unix system, in addition the following programs must be installed.
Python 3
Virtualenv3
Sqlite3

Installing
Installing the libraries and creating the Python runtime environment for platform operation can be done through the 'setup.sh' script with the command below.
pip3 install virtualenv
./setup.sh -s

Deployment
To perform the deploy of the application the command below can be executed.
./setup.sh -r

Built With
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
About
A Light Application for Recommendation and Monitoring
Topics
djangoplataformpython3recommendation-systemscientific-researchuem
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
ALARM
The ALARM platform aims to dynamically and automatically recommend links that are relevant to web page browsers. In addition, the proposed platform provides a website monitoring tool to help owners / publishers visualize referrer activities, as well as assist them in metric-based evaluation (efficiency, number of links generated by referrers, amount of accesses in these, etc).
A mechanism for creating recommendations was also provided. With this, along with the evaluation of the recommendations, the editor is given the possibility to improve the existing algorithms. This way, it guarantees a greater autonomy on the part of the users of the platform, since not necessarily an update of the platform has to be made for use of new recommendations.
Getting Started
To use the platform follow the instructions below.
Prerequisites
For the proper functioning of this plafatorma it is necessary to use a GNU / Unix system, in addition the following programs must be installed.
Python 3
Virtualenv3
Sqlite3

Installing
Installing the libraries and creating the Python runtime environment for platform operation can be done through the 'setup.sh' script with the command below.
pip3 install virtualenv
./setup.sh -s

Deployment
To perform the deploy of the application the command below can be executed.
./setup.sh -r

Built With
Authors
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
About
A Light Application for Recommendation and Monitoring
Topics
djangoplataformpython3recommendation-systemscientific-researchuem
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages