TY - GEN
T1 - Exploring folksonomy and cooking procedures to boost cooking recipe recommendation
AU - Yu, Lijuan
AU - Li, Qing
AU - Xie, Haoran
AU - Cai, Yi
PY - 2011/4/28
Y1 - 2011/4/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79955081949&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-20291-9_14
DO - 10.1007/978-3-642-20291-9_14
M3 - Conference article published in proceeding or book
AN - SCOPUS:79955081949
SN - 9783642202902
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 119
EP - 130
BT - Web Technologies and Applications - 13th Asia-Pacific Web Conference, APWeb 2011, Proceedings
T2 - 13th Asia-Pacific Conference on Web Technology, APWeb 2011
Y2 - 18 April 2011 through 20 April 2011
ER -