Search is crucial to viewers and streamers. It allows looking for a specific title of a movie, an actor, a genre, a series, or an episode of a series. Regardless of the query, the search guides the explicit user intent towards a definite objective: the user is leaning forward. It becomes crucial to correctly detect the user’s intent redirecting search results to be compliant with that intent.
To enrich the leaning forward experience, the search results should offer the highest variety of results regardless of research type, but always coherent with users’ momentary craving. To do this, it is essential to show off clean and coherent results and not to return many objects of the same content – like multiple episodes of the same series or several versions (HD vs. 4K) of the same movie.
The UX Engine 8.2 feature Grouping Search Results allows viewers to improve the accuracy of their search results, showing just what’s relevant to them, collapsing search results.
Consider the case when the end-user searches for a well-known actor/actress, i.e. John Krasinski. With a search use case configured with a page size of 10 and a catalog that includes multiple episodes from the series “The Office”, searching for John Krasinski will return an overwhelmed first page with only results from “The Office”. The end-user would need to scroll multiple pages to get to other outcomes related to John Krasinski.
Grouping Search Results enhances customer experience because it helps users to find specific content throughout the platform. It automatically shows content that resonates with the user. Thanks to this feature, editorial teams can better optimize the search real estate.
In our precedent example, the Grouping Search Results feature allows for a collapsing of search results that share predefined metadata, being the title of the series (SeriesTitle attribute). Grouping Search Results will return a single representative outcome for each metadata value alongside all the other normal search results bringing a more clean user experience.