M2: RETRIEVE query pipeline with 5-stage execution (candidate → filter → score → diversify → limit),
usearch HNSW vector index, bitmap/range/universe filters, ranking profiles with signal scoring,
MMR diversity enforcement, and m2_uat integration tests.
M3: Entity system with typed metadata, relationship graph (follows/blocks/interactions),
creator entities, session tracking, and m3_uat integration tests.
M4: Advanced ranking with builtin functions (freshness, trending, controversy, wilson),
ranking executor with explain mode, query executor integration, benchmarks for
query/ranking/vector/filters/diversity, and m4_uat integration tests.
Includes: 9 new blog posts, marketing site updates, updated roadmap, and updated vision doc.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
19 KiB
Task 02: Interaction Weight Ledger
Context
Milestone: 3 -- Personalized Ranking
Phase: m3p2 -- Feedback Loop
Depends On: Task 01 (entity lookup patterns, preference module structure), m3p1 Task 02 (relationship graph: RelationshipType::InteractionWeight edge), m1p4 (decay infrastructure: DecayModel::Exponential, lambda computation)
Blocks: Task 04 (Atomic Signal Dispatch updates interaction weights), m3p3 (Personalized Profiles use interaction weights for scoring)
Complexity: M
Objective
Deliver the user-to-creator interaction weight system: a decayed weight representing how strongly a user prefers a particular creator, updated atomically on every engagement signal. The interaction weight uses the same DecayModel::Exponential infrastructure from m1p4, not a separate decay system.
When a user engages with an item (view, like, share, completion), the interaction weight for the user-to-creator pair increases. When a user skips an item, the weight decreases. The weight decays over time using the same exponential formula as signal scores: W(t) = W(t_prev) * exp(-lambda * dt) + delta_weight.
The interaction weight is stored as a RelationshipType::InteractionWeight edge in the users keyspace (established in m3p1 Task 02). This task adds the decay-aware update logic on top of the raw relationship edge storage.
In m3p3, the for_you profile uses interaction weights as a scoring boost: items from creators with higher interaction weights get a score multiplier. This makes the feed naturally favor creators the user has historically engaged with.
Requirements
InteractionWeightLedgerstruct: manages in-memory user->creator weights with decayledger.update_weight(user_id, creator_id, delta, timestamp)applies decayed weight updateledger.read_weight(user_id, creator_id, now)returns current decayed weightledger.read_top_creators(user_id, n, now)returns top-n creators by decayed weight- Decay formula:
W(t) = W(prev) * exp(-lambda * (t - t_prev)) + delta - Lambda from configurable half-life (default: 14 days, matching the "like" signal)
- Initial weight for first interaction: delta is added to 0.0
- Delta values:
+1.0for like,+0.5for view,+2.0for share,+1.5for completion,-0.5for skip - In-memory cache:
DashMap<(u64, u64), InteractionWeightEntry>keyed by(user_id, creator_id) - Persistence via
RelationshipType::InteractionWeightedges in users keyspace - Checkpoint to storage on
TidalDb::close()and periodic checkpoint - Restore from storage on startup
Technical Design
Module Structure
tidal/src/
entities/
interaction.rs -- InteractionWeightLedger, InteractionWeightEntry, config
Core Types
// === entities/interaction.rs ===
use dashmap::DashMap;
use crate::schema::{EntityId, Timestamp};
/// Configuration for interaction weight decay.
#[derive(Debug, Clone)]
pub struct InteractionWeightConfig {
/// Half-life for interaction weight decay.
/// Default: 14 days (same as "like" signal).
pub half_life_secs: f64,
/// Pre-computed lambda = ln(2) / half_life_secs.
pub lambda: f64,
/// Delta weights per signal type.
pub deltas: InteractionDeltas,
}
impl InteractionWeightConfig {
pub fn new(half_life_secs: f64) -> Self {
let lambda = std::f64::consts::LN_2 / half_life_secs;
Self {
half_life_secs,
lambda,
deltas: InteractionDeltas::default(),
}
}
}
impl Default for InteractionWeightConfig {
fn default() -> Self {
Self::new(14.0 * 24.0 * 3600.0) // 14 days
}
}
/// Delta weight values for each signal type.
#[derive(Debug, Clone)]
pub struct InteractionDeltas {
pub view: f64,
pub like: f64,
pub share: f64,
pub completion: f64,
pub skip: f64,
}
impl Default for InteractionDeltas {
fn default() -> Self {
Self {
view: 0.5,
like: 1.0,
share: 2.0,
completion: 1.5,
skip: -0.5,
}
}
}
/// In-memory entry for a single user->creator interaction weight.
///
/// Mirrors the `HotSignalState` pattern from m1p4: stores the running
/// decayed score and the timestamp of the last update.
#[derive(Debug, Clone)]
pub struct InteractionWeightEntry {
/// Running decayed weight. Always >= 0.0 (clamped).
pub weight: f64,
/// Timestamp of the last update (nanoseconds).
pub last_update_ns: u64,
}
impl InteractionWeightEntry {
/// Compute the current decayed weight at time `now_ns`.
pub fn current_weight(&self, now_ns: u64, lambda: f64) -> f64 {
if now_ns <= self.last_update_ns {
return self.weight;
}
let dt_secs = (now_ns - self.last_update_ns) as f64 / 1_000_000_000.0;
(self.weight * (-lambda * dt_secs).exp()).max(0.0)
}
/// Apply a delta to the weight with lazy decay.
///
/// Decays the existing weight to `now_ns`, then adds delta.
/// Clamps result to >= 0.0.
pub fn update(&mut self, delta: f64, now_ns: u64, lambda: f64) {
let decayed = self.current_weight(now_ns, lambda);
self.weight = (decayed + delta).max(0.0);
self.last_update_ns = now_ns;
}
}
/// Manages in-memory user-to-creator interaction weights with decay.
///
/// The ledger is the in-memory hot tier. Weights are persisted as
/// `RelationshipType::InteractionWeight` edges in the users keyspace
/// and restored on startup.
pub struct InteractionWeightLedger {
/// Per-(user_id, creator_id) weight entries.
entries: DashMap<(u64, u64), InteractionWeightEntry>,
/// Decay configuration.
config: InteractionWeightConfig,
}
impl InteractionWeightLedger {
pub fn new(config: InteractionWeightConfig) -> Self {
Self {
entries: DashMap::new(),
config,
}
}
/// Update the interaction weight for a user->creator pair.
///
/// Applies lazy decay to the existing weight, then adds the delta.
/// Creates a new entry if this is the first interaction.
pub fn update_weight(
&self,
user_id: EntityId,
creator_id: EntityId,
delta: f64,
timestamp: Timestamp,
) {
let key = (user_id.as_u64(), creator_id.as_u64());
let now_ns = timestamp.as_nanos();
self.entries
.entry(key)
.and_modify(|entry| {
entry.update(delta, now_ns, self.config.lambda);
})
.or_insert_with(|| InteractionWeightEntry {
weight: delta.max(0.0),
last_update_ns: now_ns,
});
}
/// Read the current decayed weight for a user->creator pair.
///
/// Returns 0.0 if no interaction history exists.
pub fn read_weight(
&self,
user_id: EntityId,
creator_id: EntityId,
now: Timestamp,
) -> f64 {
let key = (user_id.as_u64(), creator_id.as_u64());
self.entries
.get(&key)
.map_or(0.0, |entry| {
entry.current_weight(now.as_nanos(), self.config.lambda)
})
}
/// Read the top-N creators by decayed interaction weight for a user.
///
/// Returns `(creator_id, weight)` pairs sorted by descending weight.
pub fn read_top_creators(
&self,
user_id: EntityId,
n: usize,
now: Timestamp,
) -> Vec<(EntityId, f64)> {
let now_ns = now.as_nanos();
let prefix = user_id.as_u64();
let mut weights: Vec<(EntityId, f64)> = self.entries
.iter()
.filter(|entry| entry.key().0 == prefix)
.map(|entry| {
let creator_id = EntityId::new(entry.key().1);
let weight = entry.current_weight(now_ns, self.config.lambda);
(creator_id, weight)
})
.filter(|(_, w)| *w > f64::EPSILON)
.collect();
weights.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal));
weights.truncate(n);
weights
}
/// Resolve the delta weight for a signal type name.
pub fn delta_for_signal(&self, signal_type: &str) -> f64 {
match signal_type {
"view" => self.config.deltas.view,
"like" => self.config.deltas.like,
"share" => self.config.deltas.share,
"completion" => self.config.deltas.completion,
"skip" => self.config.deltas.skip,
_ => 0.0, // Unknown signal types do not affect interaction weight.
}
}
// ── Persistence ───────────────────────────────────────────────────
/// Checkpoint all interaction weights to storage as relationship edges.
pub fn checkpoint(
&self,
db_writer: &dyn Fn(EntityId, EntityId, f64, u64) -> crate::Result<()>,
) -> crate::Result<()> {
for entry in self.entries.iter() {
let (user_id, creator_id) = *entry.key();
let e = entry.value();
db_writer(
EntityId::new(user_id),
EntityId::new(creator_id),
e.weight,
e.last_update_ns,
)?;
}
Ok(())
}
/// Restore interaction weights from stored relationship edges.
pub fn restore_entry(
&self,
user_id: EntityId,
creator_id: EntityId,
weight: f64,
timestamp_ns: u64,
) {
let key = (user_id.as_u64(), creator_id.as_u64());
self.entries.insert(key, InteractionWeightEntry {
weight,
last_update_ns: timestamp_ns,
});
}
}
Test Strategy
Unit Tests
#[test]
fn new_interaction_starts_at_delta() {
let ledger = InteractionWeightLedger::new(InteractionWeightConfig::default());
let user = EntityId::new(1);
let creator = EntityId::new(10);
let ts = Timestamp::from_nanos(1_000_000_000_000_000_000);
ledger.update_weight(user, creator, 1.0, ts);
let weight = ledger.read_weight(user, creator, ts);
assert!((weight - 1.0).abs() < f64::EPSILON);
}
#[test]
fn weight_decays_over_time() {
let config = InteractionWeightConfig::new(7.0 * 24.0 * 3600.0); // 7 day half-life
let ledger = InteractionWeightLedger::new(config.clone());
let user = EntityId::new(1);
let creator = EntityId::new(10);
let t0 = Timestamp::from_nanos(1_000_000_000_000_000_000);
ledger.update_weight(user, creator, 10.0, t0);
// After one half-life (7 days), weight should be ~5.0.
let seven_days_ns = 7 * 24 * 3600 * 1_000_000_000u64;
let t1 = Timestamp::from_nanos(t0.as_nanos() + seven_days_ns);
let weight = ledger.read_weight(user, creator, t1);
assert!((weight - 5.0).abs() < 0.1, "weight after 1 half-life: {}", weight);
}
#[test]
fn weight_accumulates_with_decay() {
let config = InteractionWeightConfig::default();
let ledger = InteractionWeightLedger::new(config.clone());
let user = EntityId::new(1);
let creator = EntityId::new(10);
let t0 = Timestamp::from_nanos(1_000_000_000_000_000_000);
ledger.update_weight(user, creator, 1.0, t0);
// Second update 1 second later.
let t1 = Timestamp::from_nanos(t0.as_nanos() + 1_000_000_000);
ledger.update_weight(user, creator, 1.0, t1);
let weight = ledger.read_weight(user, creator, t1);
// Should be slightly less than 2.0 (first event decayed slightly).
assert!(weight > 1.9, "accumulated weight: {}", weight);
assert!(weight < 2.0, "accumulated weight: {}", weight);
}
#[test]
fn negative_delta_clamps_to_zero() {
let ledger = InteractionWeightLedger::new(InteractionWeightConfig::default());
let user = EntityId::new(1);
let creator = EntityId::new(10);
let ts = Timestamp::from_nanos(1_000_000_000_000_000_000);
ledger.update_weight(user, creator, 0.5, ts);
ledger.update_weight(user, creator, -10.0, ts); // Large negative
let weight = ledger.read_weight(user, creator, ts);
assert!((weight - 0.0).abs() < f64::EPSILON, "clamped to zero: {}", weight);
}
#[test]
fn read_nonexistent_returns_zero() {
let ledger = InteractionWeightLedger::new(InteractionWeightConfig::default());
let weight = ledger.read_weight(EntityId::new(1), EntityId::new(99), Timestamp::now());
assert!((weight - 0.0).abs() < f64::EPSILON);
}
#[test]
fn top_creators_returns_sorted() {
let ledger = InteractionWeightLedger::new(InteractionWeightConfig::default());
let user = EntityId::new(1);
let ts = Timestamp::from_nanos(1_000_000_000_000_000_000);
ledger.update_weight(user, EntityId::new(10), 5.0, ts);
ledger.update_weight(user, EntityId::new(20), 10.0, ts);
ledger.update_weight(user, EntityId::new(30), 1.0, ts);
let top = ledger.read_top_creators(user, 2, ts);
assert_eq!(top.len(), 2);
assert_eq!(top[0].0, EntityId::new(20)); // highest weight
assert_eq!(top[1].0, EntityId::new(10)); // second highest
}
#[test]
fn top_creators_excludes_zero_weight() {
let ledger = InteractionWeightLedger::new(InteractionWeightConfig::default());
let user = EntityId::new(1);
let ts = Timestamp::from_nanos(1_000_000_000_000_000_000);
ledger.update_weight(user, EntityId::new(10), 0.0, ts);
ledger.update_weight(user, EntityId::new(20), 1.0, ts);
let top = ledger.read_top_creators(user, 10, ts);
assert_eq!(top.len(), 1);
assert_eq!(top[0].0, EntityId::new(20));
}
#[test]
fn delta_for_signal_resolves_correctly() {
let ledger = InteractionWeightLedger::new(InteractionWeightConfig::default());
assert!((ledger.delta_for_signal("view") - 0.5).abs() < f64::EPSILON);
assert!((ledger.delta_for_signal("like") - 1.0).abs() < f64::EPSILON);
assert!((ledger.delta_for_signal("share") - 2.0).abs() < f64::EPSILON);
assert!((ledger.delta_for_signal("completion") - 1.5).abs() < f64::EPSILON);
assert!((ledger.delta_for_signal("skip") - (-0.5)).abs() < f64::EPSILON);
assert!((ledger.delta_for_signal("unknown") - 0.0).abs() < f64::EPSILON);
}
#[test]
fn restore_entry_populates_ledger() {
let ledger = InteractionWeightLedger::new(InteractionWeightConfig::default());
ledger.restore_entry(EntityId::new(1), EntityId::new(10), 5.0, 1_000_000_000_000_000_000);
let ts = Timestamp::from_nanos(1_000_000_000_000_000_000);
let weight = ledger.read_weight(EntityId::new(1), EntityId::new(10), ts);
assert!((weight - 5.0).abs() < f64::EPSILON);
}
#[test]
fn different_users_independent() {
let ledger = InteractionWeightLedger::new(InteractionWeightConfig::default());
let ts = Timestamp::from_nanos(1_000_000_000_000_000_000);
ledger.update_weight(EntityId::new(1), EntityId::new(10), 5.0, ts);
ledger.update_weight(EntityId::new(2), EntityId::new(10), 3.0, ts);
let w1 = ledger.read_weight(EntityId::new(1), EntityId::new(10), ts);
let w2 = ledger.read_weight(EntityId::new(2), EntityId::new(10), ts);
assert!((w1 - 5.0).abs() < f64::EPSILON);
assert!((w2 - 3.0).abs() < f64::EPSILON);
}
Property Tests
use proptest::prelude::*;
proptest! {
#[test]
fn weight_never_negative(
deltas in proptest::collection::vec(-5.0f64..5.0, 1..20),
half_life_secs in 3600.0f64..30.0 * 24.0 * 3600.0,
) {
let config = InteractionWeightConfig::new(half_life_secs);
let ledger = InteractionWeightLedger::new(config);
let user = EntityId::new(1);
let creator = EntityId::new(10);
let mut ts_ns = 1_000_000_000_000_000_000u64;
for delta in deltas {
let ts = Timestamp::from_nanos(ts_ns);
ledger.update_weight(user, creator, delta, ts);
ts_ns += 1_000_000_000; // 1 second between updates
}
let final_ts = Timestamp::from_nanos(ts_ns);
let weight = ledger.read_weight(user, creator, final_ts);
prop_assert!(weight >= 0.0, "weight should never be negative: {}", weight);
}
#[test]
fn decay_formula_matches_analytical(
initial_weight in 0.1f64..100.0,
dt_secs in 1.0f64..30.0 * 24.0 * 3600.0,
half_life_secs in 3600.0f64..30.0 * 24.0 * 3600.0,
) {
let lambda = std::f64::consts::LN_2 / half_life_secs;
let entry = InteractionWeightEntry {
weight: initial_weight,
last_update_ns: 0,
};
let now_ns = (dt_secs * 1_000_000_000.0) as u64;
let actual = entry.current_weight(now_ns, lambda);
let expected = initial_weight * (-lambda * dt_secs).exp();
prop_assert!((actual - expected).abs() < 1e-6,
"decay mismatch: actual={}, expected={}", actual, expected);
}
}
Acceptance Criteria
InteractionWeightEntry::updateapplies lazy decay + delta, clamps to >= 0.0InteractionWeightEntry::current_weightreturns correctly decayed value- Decay formula matches
W(prev) * exp(-lambda * dt) + deltaanalytically (property tested) InteractionWeightLedger::update_weightcreates new entries and updates existing onesInteractionWeightLedger::read_weightreturns decayed weight, 0.0 for nonexistentInteractionWeightLedger::read_top_creatorsreturns sorted results, excludes zero-weightdelta_for_signalmaps signal type names to correct delta values- Weight is always >= 0.0 (property tested across arbitrary delta sequences)
- Different users have independent weight state
restore_entrycorrectly populates the in-memory ledgercheckpointwrites all entries via the provided writer closure- Lambda computed from half_life as
ln(2) / half_life_secs cargo clippy -- -D warningspasses- All tests pass
Research References
- docs/research/tidaldb_signal_ledger.md -- Running decay formula, O(1) lazy decay
- thoughts.md -- Part V.16 (interaction weight as decay-based signal)
- VISION.md -- Relationship weights are first-class
Implementation Notes
- The
InteractionWeightLedgeruses the same O(1) lazy decay pattern asHotSignalStatefrom m1p4. The weight is stored as a running value with a timestamp. On read, decay is computed lazily. On update, the existing weight is first decayed to the current time, then the delta is added. - The
DashMap<(u64, u64), InteractionWeightEntry>key uses rawu64values (notEntityId) for efficiency. The user_id and creator_id are extracted fromEntityId::as_u64(). read_top_creatorsiterates all entries with a matching user_id prefix. For M3 at up to 500 users and ~200 creators, this linear scan is fast enough. For M6+ with larger user bases, a per-user sorted index should be considered.- The
checkpointmethod takes a writer closure rather than a direct storage reference. This allows theTidalDbto provide a closure that writesRelationshipType::InteractionWeightedges through its existing API. The closure signature isFn(user_id, creator_id, weight, timestamp_ns) -> Result<()>. - Delta values are configurable via
InteractionDeltas. The defaults are tuned to make likes worth more than views, shares worth more than likes, and skips a mild negative. These values can be adjusted without code changes by setting them inInteractionWeightConfig. - Do NOT implement the persistence/checkpoint wiring in this task. The
checkpointandrestore_entrymethods are public but the actual wiring intoTidalDb::close()andTidalDb::open()is done in Task 04 (Atomic Signal Dispatch) where all state management is coordinated.