User Group Meetup 2024-Session 3 - Introducing "Content Search"

Video Transcription

Video Summary

The video presentation introduces a new feature called "content search" in the Oasis platform, aiming to enhance the user experience by allowing learners to discover information more efficiently. Traditionally, users searched for courses in the catalog, but the content search shifts focus to the individual pieces of content within courses, like videos, PDFs, and other materials. This feature addresses the often-reported challenge where users struggle to find relevant content due to mismatches between search expectations and results.<br /><br />The speaker explains the technical aspects of the content search. When users perform a search, the system sends a query to Google's Enterprise Search for fast and relevant results. This contrasts with the previous method of querying directly from Oasis's database. The search brings up relevant content grouped by courses, allowing users to determine which course offers the most content on their search topic. This method helps users make informed decisions if courses differ in price or content density.<br /><br />Additionally, content search includes AI-generated summaries of videos, allowing users to quickly assess if the content matches their needs without watching the entire video. The feature is customizable; administrators can choose to display courses, content, or both in search results. The search results are designed to accommodate large amounts of data with near real-time indexing, although minor delays may exist as Google indexes new changes.<br /><br />The presentation also highlights challenges in designing intuitive user interfaces, while emphasizing that the new system does not compromise existing security and access controls. The session concludes with an invitation for feedback, suggesting that user input is crucial for refining the feature.

Keywords

Oasis platform

content search

user experience

Google Enterprise Search

AI-generated summaries

course catalog

relevant content

search expectations

user interface

security controls

feedback