关键词: Knowledge-based recommendation Interactive selling Consumer buying behavior Consumer decision making DOI: 10.1007/s10844-010-0134-3 被引量: 82 年份: 2011 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 全文购买 Springer 国家科技图书文献中心 (权威机构) Semantic Scholar (全网免费...
Smart Recommendation System Based on Understanding User Behaviour for Afan Oromo Language with Deep Learning Therefore, this research proposes an effective recommendation based on user behavior Consumer behavior is one of the most important issues that have been discussed in recent decades. Organizations ...
This article attempts to model carefully the role of firms' recommendation actions in modifying customers' buying behaviors relative to what the customers would do without such a recommendation intervention. The author proposes a simple consumer behavior model that accommodates a transparent role for a...
Consumer Buying BehaviorConsumer Decision MakingIn contrast to customers of bricks and mortar stores, users of online selling environments are not supported by human sales experts. In such situations recommender applications help to identify the products and/or services that fit the user's wishes and...
consumer buying behavior which is the price.We use a complex network analysis method to analyze a product network based on records of product co-purchases,and incorporate the habit formation of the price of the consumer into the diversity recommendation model.Establishing the knapsack model by ...
we study the new cross-domain recommendation scenario by mining novelty-seeking trait. Recent studies in psychology suggest that novelty-seeking trait is highly related to consumer behavior, which has a profound business impact on online recommendation. Previous work performed on only one single target...
A recommendation engine is a type of data filtering tool using machine learning algorithms to recommend the most relevant items to a particular user or customer. It operates on the principle of finding patterns in consumer behavior data, which can be collected implicitly or explicitly. ...
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A mobile phone is an example of a high-involvement good, where a consumer is likely to spend a significant amount of time conducting information searches before purchasing the product. Therefore, value-added services, such as WOM rating and recommender systems, become increasingly important for the...
A review of consumer perceptions of and behavior toward the price of organic food Journal of Consumer Affairs, 51 (1) (2017), pp. 211-251 CrossrefView in ScopusGoogle Scholar Ayeh et al., 2013 J.K. Ayeh, N. Au, R. Law Predicting the intention to use consumer-generated media for ...