Name
Abstract | ||
|---|---|---|
This paper presents an alternative product recommendation system for Business-to-customer e-commerce purposes. The system recommends the products to a new user. It depends on the purchase pattern of previous users whose purchase pattern are close to that of new user. The system is based on vector space model to find out the closest user profile among the profiles of all users in database. It also implements Association rule mining based recommendation system, taking into consideration the order of purchase, in recommending more than one product. To make the association rule memory-efficient, cellular automata is used. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICIT.2008.48 | ICIT |
Keywords | Field | DocType |
product recommendation system,vector space model,previous user,business-to-customer e-commerce purpose,association rule,alternative product recommendation system,association rule memory-efficient,closest user profile,cellular automaton,purchase pattern,association rule mining,recommendation system,new user,automata,electronic commerce,cognition,mathematical model,recommender system,e commerce,data mining,cellular automata,association rules,business,databases | Recommender system,Data mining,Cellular automaton,User profile,Computer science,Automaton,Association rule learning,Purchasing,Vector space model,E-commerce | Conference |
Citations | PageRank | References |
3 | 0.48 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Debajyoti Mukhopadhyay | 1 | 172 | 38.42 |
| Ruma Dutta | 2 | 38 | 4.87 |
| Anirban Kundu | 3 | 75 | 15.44 |
| Rana Dattagupta | 4 | 27 | 5.14 |