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All About  Living

All About Living







A web-based platform, which advertises the buying and selling of properties (both for free and paid promotions) and the articles written by the site's team of writers, we developed the recommender system that recommends All About Living's articles using nearby locations and tag associations.


All About Living is a startup, originally successful from releasing articles on properties on a blog and Facebook page. Since funded, All About Living wished to build their own platform, which houses articles from an expanded and more varied team of writers (extending from the one previous article on residential properties to include Finance, Lifestyle, etc.), Alongside new features such as advertising buying and selling of properties, an advertisement purchasing system, and a system recommending articles associated to the tags and locations.



We started from researching All About Living's competitors and gathered client data to construct the sitemap, for aligning our team and the client on the site's information and features. We then constructed a hi-fidelity wireframe based on gathered data to visualize the overall site’s structure before the site design stage. 


Hi-fidelity wireframe


User interface

In terms of UI design, we applied Design System principles for consistency in design. The Branding team’s specifications was to design a UI that was accessible and casual, reflective of the site owner’s style, while still highly usable, easy to understand, and clean to the eyes.


Some of our design system. We use Google Material Design as a reference


Due to the site’s varied content, from articles, buying and selling of properties, tagged locations, etc., 


search is a good option for filtering content, as this particular Search tool can very easily filter all available site data.


Searching and filtering system
Latest article
Buy and sell properties feature



Recommendation Systems

To increase users’ time spent on the site (to increase number of advertisement views), every time at end of each page (including articles, recommended articles, home page, and all pages without Load More), the site presents a recommended article so users can choose to continue reading. This recommendation logic selects from popular articles, relevance to tagged associations, and locations near to the users.

Map feature in article suggest location that related to article
Recommendation System by related article



Aside from the site’s front end, we have designed a highly usable administrative section for content management.


Backend: Manage article feature
Backend: Adding location on map to pull in related article


1000/7-8 Liberty Plaza 19th Floor, Sukhumvit 55 Road (Thonglor), Klongton Nuea, Watthana, Bangkok 10110, Thailand

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