Skip to content

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation (KDD'24)

active 2024-07-272025-12-29 (UTC)

Complete coverage26,402 / 26,402 hourly files (100%) · 2 absent upstream2023-08-152026-08-19 (UTC)
Events
28
Pushes
1
Pull requests
0
Issues
4
Stars
19
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 521 days from 2024-07-27 to 2025-12-29. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 4 total, peak 1 in a day. Comments: 2 total, peak 2 in a day. Stars: 19 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Linxyhaha2101
eunseongc2001
skleee1000
yrcmpbll1000
11497227391000

Recent activity

Latest issues, pull requests and releases

  • Issue#4yrcmpbll2025-01-03 14:07
    Bug reconstruct.py
  • Issue#3skleee2024-09-29 15:15
    Request for pre-trained model checkpoints
  • Issue#211497227392024-09-04 02:33
    Employing LLaMA as backbone?
  • Issue comment#1eunseongc2024-08-02 14:48
    Inquiry regarding training and reconstruction time
  • Issue comment#1Linxyhaha2024-08-02 10:45
    Inquiry regarding training and reconstruction time
  • Issue#1eunseongc2024-08-01 14:03
    Inquiry regarding training and reconstruction time

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 19 stars here means stars gained during the window, not the repo's star count.