Long-Term Interest

DataFunSummit

Aug 7, 2021 · Artificial Intelligence

Long-Term User Interest Modeling for Click-Through Rate Prediction in Alibaba's Advertising System

This article describes how Alibaba's advertising team tackled the challenges of modeling long‑term user interests for CTR prediction by co‑designing incremental computation services, introducing memory‑network‑based models (MIMN and HPMN), and achieving significant offline and online performance gains.

CTR predictionLong-Term InterestMemory Network

0 likes · 17 min read

Long-Term User Interest Modeling for Click-Through Rate Prediction in Alibaba's Advertising System

DataFunSummit

Mar 11, 2021 · Artificial Intelligence

Search‑Based Interest Model (SIM): Long‑Term User Behavior Modeling for CTR Prediction

This article presents the Search‑Based Interest Model (SIM), a two‑stage retrieval framework that indexes a user's entire behavior history to enable long‑term interest modeling for click‑through‑rate prediction, demonstrating practical deployment and improved recommendation of long‑term interests in e‑commerce.

AICTR predictionLong-Term Interest

0 likes · 16 min read

Search‑Based Interest Model (SIM): Long‑Term User Behavior Modeling for CTR Prediction

DataFunTalk

Dec 18, 2019 · Artificial Intelligence

Long-Term User Interest Modeling for Click‑Through Rate Prediction in Alibaba’s Advertising System

This article describes Alibaba‑Mama’s research on improving click‑through rate (CTR) prediction by modeling users’ long‑term interests with incremental computation services, memory‑network architectures (MIMN and HPMN), system redesign (UIC and RTP), and extensive offline and online experiments that demonstrate significant GAUC and CTR gains.

Long-Term InterestMemory Networkadvertising

0 likes · 16 min read