Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Collaborative Topic Modeling for Recommending S...

Sponsored · Your Podcast. Everywhere. Effortlessly. Share. Educate. Inspire. Entertain. You do you. We'll handle the rest. →
Avatar for Shinichi Takayanagi Shinichi Takayanagi
May 30, 2016
Research
0
1.5k

Collaborative Topic Modeling for Recommending Scientific Articles

論文"Collaborative Topic Modeling for Recommending Scientific Articles"を読んだ際に使用したスライド

Avatar for Shinichi Takayanagi

Shinichi Takayanagi

May 30, 2016
Tweet

More Decks by Shinichi Takayanagi

See All by Shinichi Takayanagi
論文紹介「Evaluation gaps in machine learning practice」と、効果検証入門に関する昔話
Avatar for Shinichi Takayanagi stakaya
0
1k
バイブコーディングの正体——AIエージェントはソフトウェア開発を変えるか？
Avatar for Shinichi Takayanagi stakaya
5
1.5k
[NeurIPS 2023 論文読み会] Wasserstein Quantum Monte Carlo
Avatar for Shinichi Takayanagi stakaya
0
560
[KDD2021 論文読み会] ControlBurn: Feature Selection by Sparse Forests
Avatar for Shinichi Takayanagi stakaya
2
2k
[ICML2021 論文読み会] Mandoline: Model Evaluation under Distribution Shift
Avatar for Shinichi Takayanagi stakaya
0
2k
[情報検索/推薦 各社合同 論文読み祭 #1] KDD ‘20 "Embedding-based Retrieval in Facebook Search"
Avatar for Shinichi Takayanagi stakaya
2
640
【2020年新人研修資料】ナウでヤングなPython開発入門
Avatar for Shinichi Takayanagi stakaya
29
21k
論文読んだ「Simple and Deterministic Matrix Sketching」
Avatar for Shinichi Takayanagi stakaya
1
1.2k
Quick Introduction to Approximate Bayesian Computation (ABC) with R"
Avatar for Shinichi Takayanagi stakaya
3
370

Other Decks in Research

See All in Research
自動運転におけるデータ駆動型AIに対する安全性の考え方 / Safety Engineering for Data-Driven AI in Autonomous Driving Systems
Avatar for Fuyuki Ishikawa / 石川 冬樹 ishikawafyu
0
120
GPUを利用したStein Particle Filterによる点群6自由度モンテカルロSLAM
Avatar for TakumiNakao takuminakao
0
900
LLM-Assisted Semantic Guidance for Sparsely Annotated Remote Sensing Object Detection
Avatar for SatAI.challenge satai
3
410
Time to Cash: The Full Stack Breakdown of Modern ATM Attacks
Avatar for D ratatata
0
190
Attaques quantiques sur Bitcoin : comment se protéger ?
Avatar for Renaud Lifchitz rlifchitz
0
140
2025-11-21-DA-10th-satellite
Avatar for Yuka Egusa yegusa
0
110
"主観で終わらせない"定性データ活用 ― プロダクトディスカバリーを加速させるインサイトマネジメント / Utilizing qualitative data that "doesn't end with subjectivity" - Insight management that accelerates product discovery
Avatar for 株式会社カミナシ kaminashi
15
20k
生成AI による論文執筆サポート・ワークショップ ─ サーベイ／リサーチクエスチョン編 / Workshop on AI-Assisted Paper Writing Support: Survey/Research Question Edition
Avatar for Kenji Saito ks91
PRO
0
140
SREのためのテレメトリー技術の探究 / Telemetry for SRE
Avatar for Yuuki Tsubouchi (yuuk1) yuukit
13
2.9k
令和最新技術で伝統掲示板を再構築: HonoX で作る型安全なスレッドフロート型掲示板 / かろっく@calloc134 - Hono Conference 2025
Avatar for calloc134 calloc134
0
540
生成AI による論文執筆サポート・ワークショップ 論文執筆・推敲編 / Generative AI-Assisted Paper Writing Support Workshop: Drafting and Revision Edition
Avatar for Kenji Saito ks91
PRO
0
110
視覚から身体性を持つAIへ: 巧緻な動作の3次元理解
Avatar for Take Ohkawa tkhkaeio
0
180

Featured

See All Featured
Amusing Abliteration
Avatar for ianozsvald ianozsvald
0
91
Heart Work Chapter 1 - Part 1
Avatar for Lake Fama lfama
PRO
5
35k
Color Theory Basics | Prateek | Gurzu
Avatar for Gurzu gurzu
0
190
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
Avatar for Kenny Baas-Schwegler baasie
0
440
Evolving SEO for Evolving Search Engines
Avatar for Ryan Jones ryanjones
0
110
Paper Plane (Part 1)
Avatar for Katie Cordina Lindsey katiecoart
PRO
0
3.7k
How To Stay Up To Date on Web Technology
Avatar for Chris Coyier chriscoyier
791
250k
From Legacy to Launchpad: Building Startup-Ready Communities
Avatar for Dug Song dugsong
0
130
SEOcharity - Dark patterns in SEO and UX: How to avoid them and build a more ethical web
Avatar for Sara Fernández Carmona sarafernandez
0
110
Dominate Local Search Results - an insider guide to GBP, reviews, and Local SEO
Avatar for Greg Gifford greggifford
PRO
0
50
A Soul's Torment
Avatar for Nat Ma seathinner
5
2.2k
Mobile First: as difficult as doing things right
Avatar for Swwweet swwweet
225
10k

Transcript

  1. RCO論文輪読会(2016/05/27) “Collaborative topic modeling for recommending scientific articles”(KDD2011) Chong Wang,

    David M. Blei 高柳慎一

  2. （C）Recruit Communications Co., Ltd. ABSTRACT 1

  3. （C）Recruit Communications Co., Ltd. 1. INTRODUCTION 2

  4. （C）Recruit Communications Co., Ltd. 1. INTRODUCTION 3

  5. （C）Recruit Communications Co., Ltd. 1. INTRODUCTION 4

  6. （C）Recruit Communications Co., Ltd. 2. BACKGROUND ＆ 2.1 Recommendation Tasks

    5

  7. （C）Recruit Communications Co., Ltd. 2.1 Recommendation Tasks 6

  8. （C）Recruit Communications Co., Ltd. 2.1 Recommendation Tasks 7

  9. （C）Recruit Communications Co., Ltd. 2.2 Recommendation by Matrix Factorization 8

  10. （C）Recruit Communications Co., Ltd. 2.2 Recommendation by Matrix Factorization 9

  11. （C）Recruit Communications Co., Ltd. 2.2 Recommendation by Matrix Factorization 10

  12. （C）Recruit Communications Co., Ltd. 2.2 Recommendation by Matrix Factorization 11

  13. （C）Recruit Communications Co., Ltd. 2.3 Probabilistic Topic Models 12

  14. （C）Recruit Communications Co., Ltd. LDAの生成過程 13

  15. （C）Recruit Communications Co., Ltd. LDAの特徴 14

  16. （C）Recruit Communications Co., Ltd. 3. COLLABORATIVE TOPIC REGRESSION 15

  17. （C）Recruit Communications Co., Ltd. COLLABORATIVE TOPIC REGRESSION 16

  18. （C）Recruit Communications Co., Ltd. CTRの生成過程 17

  19. （C）Recruit Communications Co., Ltd. 3. COLLABORATIVE TOPIC REGRESSION 18

  20. （C）Recruit Communications Co., Ltd. CTRのモデルのRegressionたる所以 19

  21. （C）Recruit Communications Co., Ltd. 学習のさせ方 20

  22. （C）Recruit Communications Co., Ltd. 学習のさせ方 21

  23. （C）Recruit Communications Co., Ltd. 簡単な証明 by iPad手書き 22

  24. （C）Recruit Communications Co., Ltd. 学習のさせ方 23

  25. （C）Recruit Communications Co., Ltd. 予測 24

  26. （C）Recruit Communications Co., Ltd. 4. EMPIRICAL STUDY 25

  27. （C）Recruit Communications Co., Ltd. データの規模感 26

  28. （C）Recruit Communications Co., Ltd. 評価 27

  29. （C）Recruit Communications Co., Ltd. 結果 28

  30. （C）Recruit Communications Co., Ltd. 結果 (ライブラリ内の論文数(Fig 5)・ある論文をLikeした数(Fig 6) 依存性) 29

    数が増えると Recallが下がる (あまり有名な論文じゃ ないのを出すため) 数が増えると Recallが上がる (みんな見てる論文 だとCFがうまく動く)

  31. （C）Recruit Communications Co., Ltd. 結果(ある2ユーザの好んだトピックを抽出) 30 トピックの潜 在ベクトルの 重みをランキ ングして抽出

  32. （C）Recruit Communications Co., Ltd. 結果(オフセットの大きかった論文BEST 10) 31 ※内容よりもCFが効くケースに相当

  33. （C）Recruit Communications Co., Ltd. 結果(EMの論文がベイズ統計勢にもよく参照されている例) 32 ※内容よりもCFが効く ケースに相当

  34. （C）Recruit Communications Co., Ltd. 結果(逆にトピックが広がらない例) 33 ※内容が支配的なケー スに相当

  35. （C）Recruit Communications Co., Ltd. 5. CONCLUSIONS AND FUTURE WORK 34