TY - GEN
T1 - The collaborative filtering algorithm with time weight based on MapReduce
AU - Su, Hongyi
AU - Lin, Xianfei
AU - Yan, Bo
AU - Zheng, Hong
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - As one of the most successful recommendation algorithm, collaborative filtering algorithm still faces many challenges, such as accuracy, extensibility, and sparsity. In the algorithm, ratings produced in different period are treated equally, so changes of users’ interests have been ignored. This paper considers the influence of time factor on users’ interests, and presents a new algorithm that involves time decay factor in the collaborative filtering algorithm, the new algorithm makes a more accurate recommendation by reducing the weight of old data. Deploying the collaborative filtering algorithm with time weight on parallel computing frame of MapReduce also achieves the extensibility of algorithm and improves the processing performance of large data sets.
AB - As one of the most successful recommendation algorithm, collaborative filtering algorithm still faces many challenges, such as accuracy, extensibility, and sparsity. In the algorithm, ratings produced in different period are treated equally, so changes of users’ interests have been ignored. This paper considers the influence of time factor on users’ interests, and presents a new algorithm that involves time decay factor in the collaborative filtering algorithm, the new algorithm makes a more accurate recommendation by reducing the weight of old data. Deploying the collaborative filtering algorithm with time weight on parallel computing frame of MapReduce also achieves the extensibility of algorithm and improves the processing performance of large data sets.
KW - Collaborative filtering
KW - Distributed application
KW - Time weight
UR - http://www.scopus.com/inward/record.url?scp=84947295270&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-22047-5_31
DO - 10.1007/978-3-319-22047-5_31
M3 - Conference contribution
AN - SCOPUS:84947295270
SN - 9783319220468
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 386
EP - 395
BT - Big Data Computing and Communications - 1st International Conference, BigCom 2015, Proceedings
A2 - Argamon, Shlomo
A2 - Li, Xiang Yang
A2 - Xiong, Hui
A2 - Li, JianZhong
A2 - Wang, Yu
PB - Springer Verlag
T2 - 1st International Conference on Big Data Computing and Communications, BigCom 2015
Y2 - 1 August 2015 through 3 August 2015
ER -