1,721,022 research outputs found
CO2e analysis of TOP100 Polish e-commerces
No full textResults of a survey of the 100 largest Polish e-commerce stores by CO2 emissions
Algorithms of a Self-adaptation Mechanism for the E-commerce Interface
No full textThe dataset contains information used during the validation and experimental use of the proposed UI auto-adaptation algorithms in e-commerce.
The dataset consists of 3 parts:
1. learning data, comprising e-commerce customer beharioural data, as a basis for user clustering ([Learning_Dataset] catalogue)
2. clustering results, including quality indicators, visualisations and resource consumption ([Algorithm1] catalogue)
3. the data underlying the calculation of the CR, AOV (files "sale-orders-ecrXzzz.csv", where X stands for the cluster number and zzz stands for the interface variant - DEDicated or DEFault) and PCR (files "scoring-reports-ecrXzzz.csv|) located in the [Algorithm2] directory
Customer segmentation in e-commerce: a context-aware method for comparing clustering algorithms
No full textThe dataset includes:
- results of customer clustering using K-means, K-medians, BIRCH methods on two datasets from different online shops
- resource usage (CPU, MEM) for the selected configuration of the tested clustering method
The functional framework for self-adaptation of e-commerce user interfaces
No full textThe dataset contains information about the collected customer behavior of an e-shop that has implemented a multi-variant user interface serving platform.
Data was retrieved from the database with a query:
SELECT s.token, s.fingerprint, s.userToken, s.siteId, s.userId, v.url, v.type, v.group, v.category, v.action, v.name, v.time, v.visitKey, v.groupSource FROM `visit` v JOIN session s ON v.sessionId=s.id WHERE v.`time` > '2023-04-01' AND v.`time`<'2023-07-15'
The dataset was used to cluster clients and assess the effectiveness of serving different UI variants
E-commerce Personalisation Using Multi-Variant User Interface and AI-Generated Content Tools
No full textThe dataset includes:
1. Data on customer behavior of the online store (clickstream) from 1.04.2023 to 30.11.2023, which is the basis for clusterization and calculation of efficiency.
2. Clusterization results (K-means, k=4).
3. Content generated by AIGC (ChatGPT) for products included in the study
E-commerce User Interface Self Adaptation Based on Different Machine Learning Approaches Towards User Experience Improvement
No full textThe dataset includes: customer behaviour data underlying the clustering described in the paper, clustering results and reports summarising the performance indicator values obtained
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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