Discovery recommendations

Trending Algorithm

VIEWR's recommendation engine uses weighted engagement scoring:

Engagement Factors

Factor	Weight	Description
Views	1x	Total view count
Likes	3x	Engagement quality signal
Comments	5x	Deep engagement indicator
Engagement Rate	2x	Likes+Comments per view
Recency	Decay	Newer content boosted

Algorithm Features

• Time Decay: Recent content prioritized

• Creator Dispersion: Variety in recommendations

• Random Variance: 30% randomization for discovery

• Category Affinity: Based on watch history

For You Feed

Personalized recommendations based on:

• Watch history

• Liked content

• Followed creators

• Category preferences

• Engagement patterns

Search

Comprehensive search across:

• Video titles and descriptions

• Creator names and usernames

• Tags and categories

• Livestream metadata

Filtering

Filter content by:

• Category

• Duration

• Upload date

• Premium/Free

• Live/Recorded