TY - GEN
T1 - Influential seed items recommendation
AU - Liu, Qi
AU - Xiang, Biao
AU - Chen, Enhong
AU - Ge, Yong
AU - Xiong, Hui
AU - Bao, Tengfei
AU - Zheng, Yi
PY - 2012
Y1 - 2012
N2 - In this paper, we present a systematic perspective study on choosing and evaluating the initial seed items that will be recommended to the cold start users. We first construct an item consumption correlation network to capture the existing users' general consumption behaviors. Then, we formalize initial items recommendation as the influential seed set selection problem. Along this line, we present several methods, each of which selects seed items according to different rules. Finally, the experimental results on two real-world data sets verify that with different seed items, the users' consumption numbers will be quite different. Meanwhile, the results also provide many deep insights into these selection methods and their recommended seed items.
AB - In this paper, we present a systematic perspective study on choosing and evaluating the initial seed items that will be recommended to the cold start users. We first construct an item consumption correlation network to capture the existing users' general consumption behaviors. Then, we formalize initial items recommendation as the influential seed set selection problem. Along this line, we present several methods, each of which selects seed items according to different rules. Finally, the experimental results on two real-world data sets verify that with different seed items, the users' consumption numbers will be quite different. Meanwhile, the results also provide many deep insights into these selection methods and their recommended seed items.
KW - Influential
KW - Item network
KW - Popularity
KW - Seed items
UR - http://www.scopus.com/inward/record.url?scp=84867351864&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867351864&partnerID=8YFLogxK
U2 - 10.1145/2365952.2366005
DO - 10.1145/2365952.2366005
M3 - Conference contribution
AN - SCOPUS:84867351864
SN - 9781450312707
T3 - RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems
SP - 245
EP - 248
BT - RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems
T2 - 6th ACM Conference on Recommender Systems, RecSys 2012
Y2 - 9 September 2012 through 13 September 2012
ER -