Post by account_disabled on Nov 27, 2023 4:14:39 GMT
Multilingual search system and personalization. Fun cases from Wikipedia. Hello everyone We'd like to introduce you to a new article category on our website called Case studies . In this content, we'll be updating design cases from around the world. Summarized in an easy-to-understand manner for reading and playing during the day. If anyone likes this kind of content, you can read it from the website or search for the word Case study. Today's content raises the issue of doing UX Research for the Search system to help you search in Wikipedia on the Android app. This step is designed to be more personalized and accessible to users in multiple languages more smoothly. This article summarizes content from Wikipedia design.
What does this article have? Show Let's get started. Design process for Wikipedia's multilingual Phone Number List search system wikipedia website search system wikipedia website Many of my friends probably know the Wikipedia website very well. Wikipedia is a website that gives us information about everything we want to know about the world. It is a free online enclycopedia that has databases in almost every language. Does everyone know that the current market share of Android users worldwide is 72% and that Wikipedia has 5 million active users per month on Android apps? The Wiki designer team has started to hypothesize the design of this new Search system by first analyzing where Android users come to read articles on the Wiki web app. The information from Quantitative data has the following details: How do users read articles on Wiki? 33.7% internal links internal link 30.7% External link 28% Search Search for the desired word in the app.
Other wikipedia search search system wikipedia search By 33.7% of users, this group is called a Wiki rabbit hole , which is a group of users who like to surf the wiki website by clicking links back and forth. Let the topic go deeper and deeper without stopping. Once you've gone around, you can't get out. This is considered a large number: 30.7% of readers accessed the website via an external link. I like to search through the default browser first and then redirect to the app. And finally, 28% will search through the search app. What does the information tell the design team? Now it came out as a hypothesis that he would go and prove that this 28% was searched from which page, whether it was from the Home page or the Article page. The summary results went to sit and look and found that 60% search from the Home page 35% searched from the Article page.
What does this article have? Show Let's get started. Design process for Wikipedia's multilingual Phone Number List search system wikipedia website search system wikipedia website Many of my friends probably know the Wikipedia website very well. Wikipedia is a website that gives us information about everything we want to know about the world. It is a free online enclycopedia that has databases in almost every language. Does everyone know that the current market share of Android users worldwide is 72% and that Wikipedia has 5 million active users per month on Android apps? The Wiki designer team has started to hypothesize the design of this new Search system by first analyzing where Android users come to read articles on the Wiki web app. The information from Quantitative data has the following details: How do users read articles on Wiki? 33.7% internal links internal link 30.7% External link 28% Search Search for the desired word in the app.
Other wikipedia search search system wikipedia search By 33.7% of users, this group is called a Wiki rabbit hole , which is a group of users who like to surf the wiki website by clicking links back and forth. Let the topic go deeper and deeper without stopping. Once you've gone around, you can't get out. This is considered a large number: 30.7% of readers accessed the website via an external link. I like to search through the default browser first and then redirect to the app. And finally, 28% will search through the search app. What does the information tell the design team? Now it came out as a hypothesis that he would go and prove that this 28% was searched from which page, whether it was from the Home page or the Article page. The summary results went to sit and look and found that 60% search from the Home page 35% searched from the Article page.