Journal ArticleDOI
Buyagain Grocery Recommender Algorithm for Online Shopping of Grocery and Gourmet Foods
TLDR
The proposed buyagain recommender algorithm finds the semanticvalue of the user comments and computes the semantic value along with the user rating to render recommendation to the user.Abstract:
Online shopping of grocery and gourmet products differ from other shopping activities due to its routine nature of buy-consume-buy. The existing recommendation algorithms of ecommerce websites are suitable only to render recommendation for products of one time purchase. So, in order to identify and recommend the products that users are likely to buy again and again, a novel recommender algorithm is proposed based on linguistic decision analysis model. The proposed buyagain recommender algorithm finds the semantic value of the user comments and computes the semantic value along with the user rating to render recommendation to the user. The efficiency of the buyagain recommender algorithm is evaluated using the grocery and gourmet dataset of amazon ecommerce websites. The end result proves that the algorithm accurately recommends the product that the user likes to purchase once again.read more
Citations
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Proceedings ArticleDOI
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty
TL;DR: This work carefully investigates grocery transaction data and observes three important patterns: products within the same basket complement each other in terms of functionality (complementarity), users tend to purchase products that match their preferences (compatibility), and a significant fraction of users repeatedly purchase the same products over time (loyalty).
Journal ArticleDOI
Formal modeling and verification of a service composition approach in the social customer relationship management system
TL;DR: A formal verification method to prove the correctness of social customer relationship management (CRM)-based service composition approach is presented and the results of model checking satisfied the logical problems in the proposed behavior model analysis.
Journal ArticleDOI
Toward the efficient service selection approaches in cloud computing
Morteza Rahimi,Nima Jafari Navimipour,Mehdi Hosseinzadeh,Mohammad Hossein Moattar,Aso Mohammad Darwesh +4 more
TL;DR: The obtained results indicate that in decision-making methods, the assignment of proper weights to the criteria has a high impact on service ranking accuracy, and this kind of method is able to facilitate enhanced user experience in fuzzy-based service selection.
References
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