We continued the work on social search groups on Zabang this week. We continued the work on the display as well as on the back end of the search results that show inside SIGs.
We are currently continuing to test.
All the holes have been plugged back up and recently discovered bugs have been fixed.
This last week we continued the work on the page where all social network groups are displayed. We are adding more elements to it, testing it, and making sure it gets updated once new social search groups are submitted by users.
We are in the completion of testing the smart database of the search engine's social network structure.
Users can now create their own personal groupings and handles regarding search engine keyword phrases. This is where we differentiate from any other search engine.
We will start to add the ability to add search results to these groupings next.
We are in the middle of stress testing the database this week. One feature that we have implemented is people being able to create hashtags for a particular search, similar to how Instagram and Twitter allow people to create hashtags for their content so others can search for it. Ours will be a little bit more intelligent and searchable.
We are in testing mode these next two weeks for all the development we have been doing for the social aspect of the search engine, mainly focusing on the hashtag implementation and seeing how it plays out with our focus groups.
We are currently working on the popularity function of the search engine.
Last week, we made it more organized by dividing all the information in two tabs: one with information about the website that is being reviewed, and the other one about the user who submitted that website.
With all the developmental programming we have done in the last 3 weeks, it is time for testing mode. We have been in tests for these functional tabs this week and plan to make this feature active next week.
This week, we worked on layout changes on the website review page.
We made it more organized by dividing all the information in two tabs: one with information about the website that is being reviewed, and the other one about the user who submitted that website. We will be testing these updates in the next 1-2 days, and then make these functions live next week.
We are in the midst of creating the Social function of the search engine.
1) We created the "Popular" functionality on the Search.
2) When "Popular" is clicked, the page results shows up and it shows the search results based on how much activity (comments) each one has.
3) We also made it possible for users to choose a category for content they want to save directly from the search results page.
4) When a user doesn't have any categories yet, then two defaults categories are created and shown for him: Review Later, Favorites. The user can go to his Saved Categories and rename these, or add other categories. If the user has updated his categories (renamed, removed, added more categories), then his/her categories are shown immediately after clicking on the Save button.
We have now put the "Save" functionality and its categories online.
It's all 100% done and functional, including the database learning side. We were able to overcome all the obstacles, and it works perfectly.
We are moving to the next task, which consists of adding a "Popular" button, and making the list of most commented posts appear!
This week we continued to work on re-training the database based on the updates that we finished, and debugging the problems that we encountered.
We found where the problems are, and have been working on fixing them. We are planning to make those fixes live this coming week.
We are also continuing to work with the client questionnaire.