Using Collaborative Filtering Algorithm to Estimate the Predictive Power of a Functional Requirement
Collaborative filtering (CF) algorithm uses the preferences expressed by previous users of items being studied and is widely applied to build recommender systems. A collaborative filter predicts items that a user will like based on the vote similar users gave to that item. In this study, we use CF t...
Saved in:
Main Authors: | Hidalgo, Reynald Jay F, Fernandez, Proceso L, Jr |
---|---|
Format: | text |
Published: |
Archīum Ateneo
2020
|
Subjects: | |
Online Access: | https://archium.ateneo.edu/discs-faculty-pubs/276 https://dl.acm.org/doi/10.1145/3377571.3377605 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Ateneo De Manila University |
Similar Items
-
Compositional coding for collaborative filtering
by: LIU, Chenghao, et al.
Published: (2019) -
Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations
by: JIANG, Shuhui, et al.
Published: (2015) -
Author topic model-based collaborative filtering for personalized POI recommendations
by: JIANG, Shuhui, et al.
Published: (2015) -
Neural collaborative filtering
by: HE, Xiangnan, et al.
Published: (2017) -
Functional Requirements Identification Using Item-to-Item Collaborative Filtering
by: Fernandez, Proceso L, Jr, et al.
Published: (2015)