%0 Conference Proceedings
%T Sequential Purchase Recommendation System for E-Commerce Sites
%+ National Institute of Technology [Patna] (NIT)
%A Saini, Shivani
%A Saumya, Sunil
%A Singh, Jyoti, Prakash
%Z Part 4: Engineering of Enterprise Software Products
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Bialystok, Poland
%Y Khalid Saeed
%Y Władysław Homenda
%Y Rituparna Chaki
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-10244
%P 366-375
%8 2017-06-16
%D 2017
%R 10.1007/978-3-319-59105-6_31
%K Data mining
%K Sequential pattern
%K Recommendation system
%K E-commerce
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X To find out which product should be recommended to the customer and when to recommend is done by the recommender system. Different approaches by using customer profile and product description are used to build recommender system. Although these information are not enough to recommend, sometimes buying of some products occurs in a stepwise manner, where buying of one product follows the buying of other products. The purpose of this research is to find the sequences followed by customers while purchasing products to improve the efficiency of recommender system. Sequence pattern mining is used to find out the order of purchasing products. The duration we find tells the time gap between the purchased product and recommendation of next sequential products.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01656206/document
%2 https://inria.hal.science/hal-01656206/file/448933_1_En_31_Chapter.pdf
%L hal-01656206
%U https://inria.hal.science/hal-01656206
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-10244