Cited By
View all- Rafique WHafid AQadir J(2023)Developing smart city services using intent‐aware recommendation systems: A surveyTransactions on Emerging Telecommunications Technologies10.1002/ett.472834:4Online publication date: 12-Jan-2023
Improving recommender systems with an intention-based algorithm switching strategy
Pages 1668 - 1673
Abstract
Modern e-commerce websites are equipped with hybrid recommendation systems aiming at bringing novelty and diversity to consumers. However, mobilizing several recommendation algorithms simultaneously not only incurs unnecessary computation costs, but also jeopardizes consumers' shopping experience due to excessive information load. Hence, recommending less but better (more relevant) items is critical, especially when consumers depend more and more on mobile devices, whose screen is much smaller. In this paper, we present a switching hybrid strategy capable of selecting recommendation algorithms according to consumers' instantaneous intention. Compared with a benchmark system which simultaneously uses all algorithms, our system achieved higher performance in terms of item view and consumption while sending less items, though both systems are empowered by the same recommendation algorithms. Meanwhile, the interface of our system is more concise and user-friendly. The result indicates that the intention as an important context factor can be used to enhance the performance and consumer experience of e-commerce recommender systems.
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Index Terms
- Improving recommender systems with an intention-based algorithm switching strategy
Recommendations
Recommender systems for product bundling
Recommender systems (RS) are a class of information filter applications whose main goal is to provide personalized recommendations, content, and services to users. Recommendation services may support a firm's marketing strategy and contribute to ...
Incorporating frequency, recency and profit in sequential pattern based recommender systems
Customers usually change their purchase interests in the short product life cycle of the e-commerce environment. Therefore, recent transaction patterns should have a greater effect on the customer preferences. From the seller's point of view, an e-...
A time-based approach to effective recommender systems using implicit feedback
Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations using explicit ratings on items from users. In some e-commerce environments, ...
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Published In
April 2017
2004 pages
ISBN:9781450344869
DOI:10.1145/3019612
- Conference Chair:
- Sung Y. Shin,
- Program Chairs:
- Dongwan Shin,
- Maria Lencastre
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Published: 03 April 2017
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View all- Rafique WHafid AQadir J(2023)Developing smart city services using intent‐aware recommendation systems: A surveyTransactions on Emerging Telecommunications Technologies10.1002/ett.472834:4Online publication date: 12-Jan-2023
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