Exploring folksonomy and cooking procedures to boost cooking recipe recommendation

Lijuan YU*, Qing LI, Haoran XIE, Yi CAI

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)

13 Citations (Scopus)

Abstract

Recommender systems have gained great popularity in Internet applications in recent years, due to that they facilitate users greatly in information retrieval despite the explosive data growth. Similar to other popular domains such as the movie-, music-, and book- recommendations, cooking recipe selection is also a daily activity in which user experiences can be greatly improved by adopting appropriate recommendation strategies. Based on content-based and collaborative filtering approaches, we present in this paper a comprehensive recipe recommendation framework encompassing the modeling of the recipe cooking procedures and adoption of folksonomy to boost the recommendations. Empirical studies are conducted on a real data set to show that our method outperforms baselines in the recipe domain.

Original languageEnglish
Title of host publicationWeb Technologies and Applications : 13th Asia-Pacific Web Conference Proceedings
EditorsXiaoyong DU, Wenfei FAN, Jianmin WANG, Zhiyong PENG, Mohamed A. SHARAF
Place of PublicationBerlin
PublisherSpringer Berlin Heidelberg
Pages119-130
Number of pages12
Volume6612
ISBN (Electronic)9783642202919
ISBN (Print)9783642202902
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventThe 13th Asia-Pacific Web Conference - Beijing, China
Duration: 18 Apr 201120 Apr 2011
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=11340&copyownerid=5211

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6612 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThe 13th Asia-Pacific Web Conference
Abbreviated titleAPWeb 2011
CountryChina
CityBeijing
Period18/04/1120/04/11
Internet address

Fingerprint Dive into the research topics of 'Exploring folksonomy and cooking procedures to boost cooking recipe recommendation'. Together they form a unique fingerprint.

  • Cite this

    YU, L., LI, Q., XIE, H., & CAI, Y. (2011). Exploring folksonomy and cooking procedures to boost cooking recipe recommendation. In X. DU, W. FAN, J. WANG, Z. PENG, & M. A. SHARAF (Eds.), Web Technologies and Applications : 13th Asia-Pacific Web Conference Proceedings (Vol. 6612, pp. 119-130). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6612 LNCS). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-20291-9_14