JavaScript MV* Framework - Making the Right Choice
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This document discusses JavaScript MV* frameworks and recommends Exoskeleton as a lightweight alternative to popular frameworks like AngularJS and Backbone. It compares the frameworks based on code size, community support and complexity. While frameworks provide structure, Exoskeleton extends Backbone to be faster and more customizable. The document argues Exoskeleton allows more control over code and fewer dependencies than larger frameworks. An example TODO app demonstrates how to use Exoskeleton.
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𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝘀: Navneet Panda; Yun Zhou
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𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭
This patent describes methods and systems for automatically predicting a quality score for a website (or “site”) that can be used as a ranking signal in search engines:
1. 𝗕𝗮𝘀𝗲𝗹𝗶𝗻𝗲 𝘀𝗶𝘁𝗲 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝘀𝗰𝗼𝗿𝗲𝘀 obtained for previously scored sites.
2. 𝗣𝗵𝗿𝗮𝘀𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 that map phrase-specific relative frequency measures to baseline quality scores.
3. 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗲 𝘀𝗰𝗼𝗿𝗶𝗻𝗴 of a new site by applying the phrase model to its phrase frequencies and then predicting its overall site quality score from the aggregate.
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2. 𝗦𝗲𝗮𝗿𝗰𝗵 𝗦𝘆𝘀𝘁𝗲𝗺: Contains an Indexing Engine (builds the index database) and a Ranking Engine (ranks results).
3. 𝗦𝗶𝘁𝗲 𝗦𝗰𝗼𝗿𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲: Computes site quality scores using the phrase model and provides these scores to the ranking engine as part of the ranking signals.
𝐏𝐡𝐫𝐚𝐬𝐞 𝐌𝐨𝐝𝐞𝐥 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐅𝐢𝐠. 𝟐)
1. 𝗧𝗼𝗸𝗲𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗻-𝗴𝗿𝗮𝗺 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: For each site in a corpus of previously scored sites, extract n-grams (typically 2- to 5-grams) from page content.
2. 𝗥𝗲𝗹𝗮𝘁𝗶𝘃𝗲 𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 𝗖𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗶𝗼𝗻: For each extracted n-gram, compute its relative frequency as the ratio of pages containing that n-gram to total pages on the site.
3. 𝗕𝘂𝗰𝗸𝗲𝘁 𝗣𝗮𝗿𝘁𝗶𝘁𝗶𝗼𝗻𝗶𝗻𝗴: Group sites into 20–100 buckets based on their relative frequency measures for each n-gram, ensuring roughly equal bucket sizes or equal interval ranges.
4. 𝗕𝗮𝘀𝗲𝗹𝗶𝗻𝗲 𝗦𝗰𝗼𝗿𝗲 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗶𝗼𝗻: For each bucket, calculate an average baseline quality score from the known scores of sites in that bucket.
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𝐒𝐢𝐭𝐞 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 (𝐅𝐢𝐠. 𝟑)
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2. 𝗕𝘂𝗰𝗸𝗲𝘁 𝗟𝗼𝗼𝗸𝘂𝗽: For each phrase, map its relative frequency to the corresponding bucket’s average score in the phrase model.
3. 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗲 𝗦𝗰𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻: Compute an aggregate score across all phrases’ bucket scores—typically via a weighted or unweighted mean. Weights can reflect phrase frequency, distance from a “neutral” score, or limit the influence of overly frequent phrases.
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- 1. JavaScript MV* Framework - Making the Right Choice by @sheiko
- 2. Who’s the dude? I’m Dmitry Sheiko, a web-developer, blogger, open source contributor. http://dsheiko.com @sheiko https://github.com/dsheiko
- 3. What do I need a framework for? • Abstractions (separation of concerns) • Implicit conventions • Code reusability • Data Binding • Widgets Library
- 4. What framework do I need? MVC Backbone MVP MVVM AngularJS Ember.js Dojo YUI Agility.js KnockoutJS CanJS Maria Polymer React cujoJS Montage Sammy.js Stapes Epitome DUEL Kendo UIPureMVC Olives PlastronJS Dijon rAppid.js DeftJS + ExtJS SAPUI5 Exoskeleton Atma.js Ractive.js ComponentJS Vue.js
- 6. How they implement MV* bit.ly/1p24xgq Collection Model Template Router Controller Scope View AngularJS Backbone Ember.js
- 7. How active developers community Backbone Stars: 18 264 Forks: 4 066 Open issues: 26 Closed issues: 3 151 Ember.js Stars: 10 442 Forks: 2 249 Open issues: 220 Closed issues: 4 788 AngularJS Stars: 24 958 Forks: 8 635 Open issues: 1 117 Closed issues: 6 704 via Github 13.06.2014
- 8. How good FAQ support Backbone Questions: 15 191 Answered: 9 193 60% Avg answers per question: 2.24 Ember.js Questions: 18 243 Answered: 11 120 61% Avg answers per question: 2.40 AngularJS Questions: 40 312 Answered: 22 382 55% Avg answers per question: 2.30 via StackExchange 13.06.2014
- 9. The hidden part of the iceberg AngularJS Logical LOC: 6 748 Mean parameter count: 1.5 Cyclomatic complexity: 1 548 Cyclomatic complexity density: 23% Maintainability index: 113 Production build: 108K Ember.js* Logical LOC: 43 390 Mean parameter count: 1.2 Cyclomatic complexity: 2 543 Cyclomatic complexity density: 17% Maintainability index: 113 Production build: 276K Backbone* Logical LOC: 965 Mean parameter count: 1.3 Cyclomatic complexity: 275 Cyclomatic complexity density: 28% Maintainability index: 108 Production build: 20K * without dependencies
- 10. Wonna really be in control of your own code?
- 11. You have to know then exactly what the framework does
- 13. Backbone is our hero! http://backbonejs.org/docs/backbone.html
- 14. What about dependencies? Do we need them? Backbone jQuery Underscore
- 16. Exoskeleton is an optimized Backbone Faster Lightweight Dependencies optional http://exosjs.com Custom builds Backbone drop-in replacement
- 17. What about legacy browsers? https://github.com/es-shims/es5-shim
- 18. An example? TODO MVC http://bit.ly/T0oREh Exoskeleton + CommonJS Compiler http://bit.ly/1lr1R7Z
- 19. Thank you! My credits to www.flaticon.com for these amazing free vector icons and surely to Paul Miller and Adam Krebs for Exoskeleton