Community similarity based on user profile joins
Similarity joins on multidimensional data are crucial operators for recommendation purposes. The classic ��-join problem finds all pairs of points within �� distance to each other among two ��-dimensional datasets. In this paper, we consider a novel and alternative version of ��-join named community...
Saved in:
Main Authors: | THEOCHARIDIS, Konstantinos, LAUW, Hady Wirawan |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2024
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/sis_research/8719 https://ink.library.smu.edu.sg/context/sis_research/article/9722/viewcontent/edbt24.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Adaptive content-aware influence maximization via online learning to rank
由: THEOCHARIDIS, Konstantinos, et al.
出版: (2024) -
Multiperspective graph-theoretic similarity measure
由: LE, Dung D., et al.
出版: (2018) -
Interpreting topic models in byte-pair encoding space
由: LIM, Jia Peng, et al.
出版: (2025) -
Selecting comparative sets of reviews across multiple items
由: LE, Trung Hoang, et al.
出版: (2025) -
Metric similarity joins using MapReduce
由: GAO, Yunjun, et al.
出版: (2017)