Intent Based Association Modeling for E-commerce

Sathish, Sailesh; Patankar, Anish Anil

doi:10.1007/978-3-030-23281-8_12

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Therefore, interactions with the provided content should intuitively indicate their intent. Various modelling strategies have already been applied as to hedge user interactions, ranging from latent modelling to neural networks based approaches Sathish & Patankar (2019), Sheil et al (2018). Our goal for this work is not to present the most accurate model, but identify the smallest key feature space for consumer intent.…”

Section: What Are E-commerce Users Looking For?mentioning

confidence: 99%

Contextualisation of eCommerce Users

Elhabbak¹,

Descamps²,

Fischer³

et al. 2020

Preprint

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A scaleable modelling framework for the consumer intent within the setting of e-Commerce is presented. The methodology applies contextualisation through embeddings borrowed from Natural Language Processing. By considering the user session journeys throughough the pages of a website as documents, we capture contextual relationships between pages, as well as the topics of the of user visits. Finally, we empirically study the consistency and the stability of the presented framework.

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Section: What Are E-commerce Users Looking For?mentioning

confidence: 99%

Contextualisation of eCommerce Users

Elhabbak¹,

Descamps²,

Fischer³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Some scholars have also attempted to identify user retention mechanisms via survey methods. Previous studies have mainly used questionnaires or in-home surveys to obtain information about long-term retention [8], and modern companies commonly analyze user behavior data to develop user retention strategies [9]. In addition, studies have found that user satisfaction and loyalty are crucial for user retention [8], and the retention behavior of loyal users has a positive effect on traditional platforms for transformation and upgrading [10].…”

Section: Introductionmentioning

confidence: 99%

Dispel the Clouds and See the Sun: Influencing Factors and Multiple Paths of User Retention Intention Formation

Zhang,

Hu,

Kim

2023

Behavioral Sciences

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To achieve user retention through multifactor synergy, Internet enterprises must reduce costs and increase efficiency and sustainable development. In response to the dilemma that Internet companies are experiencing increasingly high user acquisition costs and serious user churn, this paper investigates a sample of 46,695 user reviews of nine product series from Xiaomi Ecological Chain. Case studies and qualitative comparative analysis are used to explore the influence mechanisms of quality of experience, brand trust, and brand attachment on users’ retention intentions. Our findings are as follows. (1) Brand attachment alone is not necessary for high user retention intention, but user perception, cognition, and brand trust are necessary. (2) Quality of experience positively impacts brand trust, attachment, and user retention intention. Therefore, improving user perception and cognition is critical in generating high user retention intention. (3) Five configuration paths can achieve high user retention intention, while three configuration paths lead to low user retention intention, and there is an asymmetric relationship between these paths. Among them, the role of quality of experience-driven configuration paths in generating user retention intention is the most prominent. (4) User perception and cognition can substitute with brand trust and attachment in the substitution relationship between configuration paths. Our findings have important theoretical and practical implications for revealing the realization paths of high user retention intention in Internet companies and provide a new perspective for future research.

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“…Some scholars have also attempted to identify user retention 2 mechanisms via survey methods. Previous studies have mainly used questionnaires or in-home surveys to obtain information about long-term retention [8], and modern companies commonly analyze user behavior data to develop user retention strategies [9]. In addition, studies have found that user satisfaction and loyalty are crucial for user retention [8], and the retention behavior of loyal users has a positive effect on traditional platforms for transformation and upgrading [10].…”

Section: Introductionmentioning

confidence: 99%

Dispel the Clouds and See the Sun: Influencing Factors and Multiple Path of User Retention Intention Formation

Zhang¹,

Hu²

2023

Preprint

View full text Add to dashboard Cite

To achieve user retention through multifactor synergy, Internet enterprises must reduce costs and increase efficiency and sustainable development. In response to the dilemma that Internet compa-nies are experiencing increasingly high user acquisition costs and serious user churn, this paper uses a sample of 46,695 user reviews of nine product series from Xiaomi Ecological Chain. Case studies and qualitative comparative analysis are used to explore the influence mechanisms of quality of experience, brand trust, and brand attachment on users' retention intentions. Our find-ings are as follows. (1) Brand attachment alone is not necessary for high user retention intention, but user perception, cognition, and brand trust are necessary. (2) Quality of experience positively impacts brand trust, attachment, and user retention intention. Therefore, improving user perception and cognition is critical in generating high user retention intention. (3) Five configuration paths can achieve high user retention intention, three configuration paths lead to low user retention intention, and there is an asymmetric relationship between these paths. Among them, the role of quality of experience-driven configuration paths in generating user retention intention is the most prominent. (4) In the substitution relationship between configuration paths, user perception, and cognition can substitute with brand trust and attachment. Our findings have important theoretical and practical implications for revealing the realization paths of high user retention intention in Internet companies and provide a new perspective for future research.

show abstract

Intent Based Association Modeling for E-commerce

Cited by 3 publications

References 6 publications

Contextualisation of eCommerce Users

Contextualisation of eCommerce Users

Dispel the Clouds and See the Sun: Influencing Factors and Multiple Paths of User Retention Intention Formation

Dispel the Clouds and See the Sun: Influencing Factors and Multiple Path of User Retention Intention Formation

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