Topics
135 subjects that Instagram, Adam Mosseri and Meta's research cover, from the parts of the app to the signals that decide what you see.
Each topic shows how many sources cover it and the date of the newest. Research means only Meta's research papers, patents and engineering posts cover it.
Surfaces
The parts of the app where posts appear.
9 topics
Signals
What the ranking systems look at when deciding what to show you.
41 topics
- User interactions
- Social graph
- User interests
- Affinity
- Location
- User feedback
- Profile information
- Hashtags
- Interaction history
- Likes
- Music
- Comments
- Shares
- User attributes
- Content interactions
- Content relevance
- Relationship strength
- Follows
- User activity
- Geographic proximity
- Recency
- Friends' interactions
- Watch time
- Ad bids Research
- User-content affinity
- User intent
- Content quality
- Content source
- Topic affinity
- Saves
- User context
- Communication history
- Sends
- Posting frequency
- Social proof
- Ad interactions
- Content type
- Recent interactions Research
- Captions and keywords
- Previously viewed posts
- Skip rate
Features
Tools and settings you can use.
29 topics
- Stickers
- Instagram Shopping
- Effects
- Privacy settings
- Parental supervision
- Comment controls
- Instagram Insights
- Hidden Words
- Account Status
- Instagram Subscriptions
- Photo tagging
- Product tagging
- Private accounts
- Restrict
- Content reporting
- Mute
- Suggested posts
- Close Friends
- Trial Reels
- Collab posts
- Reels translations
- Reposts
- Audience controls
- Remix
- Broadcast channels
- Saved posts
- Cross-posting
- Instagram Map
- Limits
Metrics
Numbers Instagram measures, reports or optimizes for.
9 topics
Policies
Rules about what is allowed and what gets recommended.
13 topics
Formats
Kinds of posts.
5 topics
Audiences
Groups of people Instagram treats differently.
1 topic
How it works
How the systems behind the app work.
27 topics
- Content recommendations
- Content ranking
- Personalized recommendations
- Engagement prediction
- Ad targeting
- Ad ranking
- Content demotion
- Ad personalization
- Embeddings
- Account recommendations
- Location-based recommendations Research
- A/B testing
- Content classification
- Recommendation model training
- Stories ranking
- Candidate generation
- Embedding-based retrieval
- Product recommendations
- Computer vision
- Deep Learning Recommendation Model Research
- Recommendation scoring
- Collaborative filtering
- Cold-start recommendations
- Multi-task learning Research
- Sequence modeling
- Multi-stage ranking
- Two-tower model
Organizations
Companies and teams behind the systems.
1 topic