[R] Blurring-Sharpening Process Models for Collaborative Filtering (TLDR: graph filtering-based methods + inspired by SGMs = SOTA models for recommender systems)

• BSPM

  1 86 2.8 Python

  Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23 (by jeongwhanchoi)

• LT-OCF

  1 20 10.0 Python

  LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21

We have more exciting works on recommender systems; please check our LT-OCF (code) and HMLET (code)!

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• HMLET

  1 1 10.0

  Linear, or Non-Linear, That is the Question!, WSDM'22

We have more exciting works on recommender systems; please check our LT-OCF (code) and HMLET (code)!

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