Details
| Original language | English |
|---|---|
| Title of host publication | 20DC13 2013 ECML PKDD Discovery Challenge - Recommending Given Names |
| Subtitle of host publication | Proceedings of the ECML PKDD Discovery Challenge - Recommending Given Names co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2013 (ECML PKDD 2013) |
| Pages | 37-48 |
| Number of pages | 12 |
| Publication status | Published - 2013 |
| Event | 15th ECML PKDD Discovery Challenge - Recommending Given Names, 20DC13 2013 - Prague, Czech Republic Duration: 27 Sept 2013 → 27 Sept 2013 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR Workshop Proceedings |
| Volume | 1120 |
| ISSN (Print) | 1613-0073 |
Abstract
Out of thousands of names to choose from, picking the right one for your child is a daunting task. In this work, our objective is to help parents making an informed decision while choosing a name for their baby. We follow a recommender system approach and combine, in an ensemble, the individual rankings produced by simple collaborative filtering algorithms in order to produce a personalized list of names that meets the individual parents' taste. Our experiments were conducted using real-world data collected from the query logs of nameling (nameling.net), an online portal for searching and exploring names, which corresponds to the dataset released in the context of the ECML PKDD Discover Challenge 2013. Our approach is intuitive, easy to implement, and features fast training and prediction steps.
Keywords
- Given name recommendation, Personalized ranking, Top-N recommendation
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
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20DC13 2013 ECML PKDD Discovery Challenge - Recommending Given Names: Proceedings of the ECML PKDD Discovery Challenge - Recommending Given Names co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2013 (ECML PKDD 2013). 2013. p. 37-48 (CEUR Workshop Proceedings; Vol. 1120).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Collaborative Filtering Ensemble for Personalized Name Recommendation
AU - Coma-Puig, Bernat
AU - Diaz-Aviles, Ernesto
AU - Nejdl, Wolfgang
PY - 2013
Y1 - 2013
N2 - Out of thousands of names to choose from, picking the right one for your child is a daunting task. In this work, our objective is to help parents making an informed decision while choosing a name for their baby. We follow a recommender system approach and combine, in an ensemble, the individual rankings produced by simple collaborative filtering algorithms in order to produce a personalized list of names that meets the individual parents' taste. Our experiments were conducted using real-world data collected from the query logs of nameling (nameling.net), an online portal for searching and exploring names, which corresponds to the dataset released in the context of the ECML PKDD Discover Challenge 2013. Our approach is intuitive, easy to implement, and features fast training and prediction steps.
AB - Out of thousands of names to choose from, picking the right one for your child is a daunting task. In this work, our objective is to help parents making an informed decision while choosing a name for their baby. We follow a recommender system approach and combine, in an ensemble, the individual rankings produced by simple collaborative filtering algorithms in order to produce a personalized list of names that meets the individual parents' taste. Our experiments were conducted using real-world data collected from the query logs of nameling (nameling.net), an online portal for searching and exploring names, which corresponds to the dataset released in the context of the ECML PKDD Discover Challenge 2013. Our approach is intuitive, easy to implement, and features fast training and prediction steps.
KW - Given name recommendation
KW - Personalized ranking
KW - Top-N recommendation
UR - http://www.scopus.com/inward/record.url?scp=84922016798&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84922016798
T3 - CEUR Workshop Proceedings
SP - 37
EP - 48
BT - 20DC13 2013 ECML PKDD Discovery Challenge - Recommending Given Names
T2 - 15th ECML PKDD Discovery Challenge - Recommending Given Names, 20DC13 2013
Y2 - 27 September 2013 through 27 September 2013
ER -