Edit Review Improvements/New filters for edit review/mr

विशेष:अलीकडील बदल पान हे अनेक प्रकारच्या संपादन पुनरावलोकनासाठी केंद्रीय प्रारंभ बिंदू आहे.सहयोग संघ हा अलीकडील बदल पानासाठी अनुरुप अशी नविन साधने तयार करण्यचे नियोजन करीत आहे —प्रारंभिकरित्या बीटा पर्याय असलेले— याने सामान्यरित्या संपादन-पुनरावलोकन अधिक कार्यक्षमतेने करता येईल.पुनरावलोककांना त्यांचे प्रयत्न अधिक लक्ष्यनिर्धारीत करण्यास मदत होईल.

Among the new tools and other improvements are a set of predictive filters powered by machine-learning program ORES (on wikis where ORES predictions are available), and a new interface that improves both user experience and search effectiveness.

These will help reviewers in general to better target their efforts and be more efficient. The improvements also have the potential to particularly benefit new contributors, who require a more supportive edit-review process, according to research. They'll do this by using AI and other means to find edits by contributors who are a) new and b) making mistakes but c) in good faith (a key goal of Edit Review Improvements).

Those changes will also impact Special:RecentChangesLinked. Discover this new feature by visiting the Quick Tour page.

टप्पा-एक सुधारणा


टप्पा एक अलीकडील बदल पान बदलविणे—मार्च,२०१७ पर्यंत निर्धारित आहे—ज्यात खालील नविन क्षमता व सुधारणा अंतर्भूत आहेत:

योगदानाच्या दर्जाची भाकिते
सदस्यांना चांगल्या प्रतीचे संपादन छानणे शक्य केल्याने, ह्या गाळण्या पुनरावलोककांना अधिक शक्ती प्रदान करतात, उदाहरणार्थ,वाईट दर्ज्याचे संपादन शोधण्यात मदत करण्याबद्दल योगदानकर्त्यांना धन्यवाद देण्यासाठी; त्या अनेक प्रकारचे संपादन-पुनरावलोकन अधिक कार्यक्षम करतात.

विविध स्तरीय अचूकता असलेल्या गाळण्या पुरविल्या आहेत (ranging from "Very likely have problems" to "May have problems").अधिक काटेकोर व अधिक अचूक गाळण्या ह्या fewer false positives शोधतात पण एकूण कमी निकाल देतात व म्हणूनच त्यांचे अधिक लक्ष्य हुकतात.कमी अचूकता असणाऱ्या गाळण्या ह्या विस्तृत जाळे पसरवितात व त्यांचे अधिक लक्ष्य प्राप्त करतात,पण ते अनुपाताने, अधिक false positives शोधतात. भाकितांबद्दल अधिक जाणा

सदस्य कल भाकिते
By enabling users to filter for edits made in good-faith, these filters empower reviewers seeking to support good-faith users; by enabling detection of bad-faith edits, they assist reviewers looking for vandalism. Like the Quality filters above, these predictions are made by the machine-learning service ORES. Also as above, filters at different levels of accuracy are provided to meet different users' needs. भाकितांबद्दल अधिक जाणा

अनुभव स्तर गाळण्या
Research shows that new editors are particularly vulnerable to rejection. The Experience level filters enable reviewers to treat new users with the care they require and to identify contributions by users at a couple of more advanced levels. These are the Experience level filters:


 * : १० संपादनांपेक्षा कमी व ४ दिवसांची सक्रियता
 * : "" अधिक दिवसांची सक्रियता व संपादने पण “” कमी. (स्वयंशाबीत स्थितीशी मिळतेजुळते)
 * : ३० दिवसांपेक्षा अधिक सक्रियता व ५०० संपादने. (corresponds to विस्तारीत शाबीत स्थितीशी मिळतेजुळते)

The filters return the edits only of users who are currently logged in.

गाळणी करण्याबद्दल अधिक जाणा

अधिक सशक्त छानणी
Most previous RC page filters offered only a simple option to show or hide a certain property (X). By augmenting these filters so that they now let users show or hide both X and its opposite (notX), the current tools provide more control. For example, previously, one could show Wikidata edits or hide Wikidata edits, but one could not show only Wikidata edits.

Furthermore, by organizing filters into logical groups, the new arrangement provides an improved ability to narrow results. (Logically, the new arrangement provides groups of OR filters, with each group of ORs being connected to other groups by ANDs.) छानणीबद्दल अधिक जाणा

Highlighting function
Among the many user interface improvements included in this project is a user-controllable highlighting function. By letting reviewers apply color to emphasize desired edit properties in the results area, Highlighting makes Recent Changes search results more meaningful. Among other user benefits, this new interpretive layer adds another tool for prioritizing work. Learn more about highlighting functions.

टप्पा एक नंतर
एकदा कि वर वर्णित केलेले बीटा फिचर्स यथास्थित झाले तर, आम्ही वापरणाऱ्यापासून माहिती व चाचणी समाधान घेऊ, मगच अधिक सुधारणांसाठीचे नियोजन नक्की करु. खालील पर्याय हे विचाराधीन आहेत.

Extend new functionality to more pages
Add the new filters and improved filtering interface to Watchlist and Related changes.

“अलीकडेच वापरलेल्या गाळण्या”
By enabling the system to remember reviewers’ recent filter settings, help users to repeat their most common tasks quickly and easily, without having to input settings each time.

Upgrade interface and capabilities for the untouched RC page features
Phase one changes won’t affect all tools on the RC page. The following tools will remain unchanged: Namespace filters, Tag filters, filters for time frame, and number of results. Future efforts will likely bring these tools up to the new UI standard. This will enable the selection of multiple namespaces, multiple tag filters, and more specific time-frames.

Support ORES for propagated Wikidata edits
ORES supports Wikidata. You can enable it on wikidata.org and use it on Wikidata' Special:RecentChanges. The ORES extension doesn't currently handle these edits on the client-side (e.g. when viewing Wikidata changes relevant to any Wikipedia in Wikipedia RecentChanges page). We plan to fix it.

Deployment by default
The deployment by default is scheduled for September. It will include the new filtering interface, the machine-learning filter groups “User Intent Predictions” and “Quality Predictions,” the highlighting tools, the ability to save your filter settings for later use, and the new filter groups: “Watchlisted pages,” “Last revision” and "User registration and experience." Other features will be still in Beta.

The release will be done following these options:
 * Communities with no strong opinions will be scheduled by the development teams (phase 1).
 * Communities with specific concerns or internal discussion can request to have the deployment to their wikis delayed to phase 2 if they have sensible, consistent with the project, actionable, realistic feedback to oppose (at the development team's appreciation).