1a4a72fc27
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Rust workspace with core (topic-affinity learning engine + relevance scoring), db (sqlite/sqlx schema + repo), feeds (RSS/Atom fetch), llm (rig + local Ollama embeddings/completion), and web (axum + Dioxus fullstack UI, no separate JS stack). Two-stage relevance filtering (embedding shortlist -> LLM judgment) and an engagement/surprise-based topic affinity engine with daily decay. All crates compile and core's affinity engine has passing unit tests; server and wasm client targets of feedsignal-web both check clean.
7 lines
201 B
Rust
7 lines
201 B
Rust
pub mod models;
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pub mod affinity;
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pub mod scoring;
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pub use affinity::TopicAffinities;
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pub use models::{Article, Feed, ReadingEvent, ReadingOutcome};
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pub use scoring::{RelevanceInputs, score_article};
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