Search results for "commerce"
showing 10 items of 469 documents
Modeling a non-stationary bots’ arrival process at an e-commerce Web site
2017
Abstract The paper concerns the issue of modeling and generating a representative Web workload for Web server performance evaluation through simulation experiments. Web traffic analysis has been done from two decades, usually based on Web server log data. However, while the character of the overall Web traffic has been extensively studied and modeled, relatively few studies have been devoted to the analysis of Web traffic generated by Internet robots (Web bots). Moreover, the overwhelming majority of studies concern the traffic on non e-commerce websites. In this paper we address the problem of modeling a realistic arrival process of bots’ requests on an e-commerce Web server. Based on real…
Verification of Web traffic burstiness and self-similarity for multiple online stores
2017
Developing realistic Web traffic models is essential for a reliable Web server performance evaluation. Very significant Web traffic properties that have been identified so far include burstiness and self-similarity. Very few relevant studies have been devoted to e-commerce traffic, however. In this paper, we investigate burstiness and self-similarity factors for seven different online stores using their access log data. Our findings show that both features are present in all the analyzed e-commerce datasets. Furthermore, a strong correlation of the Hurst parameter with the average request arrival rate was discovered (0.94). Estimates of the Hurst parameter for the Web traffic in the online …
Practical Aspects of Log File Analysis for E-Commerce
2013
The paper concerns Web server log file analysis to discover knowledge useful for online retailers. Data for one month of the online bookstore operation was analyzed with respect to the probability of making a purchase by e-customers. Key states and characteristics of user sessions were distinguished and their relations to the session state connected with purchase confirmation were analyzed. Results allow identification of factors increasing the probability of making a purchase in a given Web store and thus, determination of user sessions which are more valuable in terms of e-business profitability. Such results may be then applied in practice, e.g. in a method for personalized or prioritize…
Web Server Support for e-Customer Loyalty through QoS Differentiation
2013
The paper deals with the problem of offering predictive service in e-commerce Web server systems under overload. Due to unpredictability of Web accesses, such systems often fail to effectively handle peak traffic, which results in long delays and incomplete transactions. As a consequence, online retailers miss an opportunity to attract new customers, retain the loyalty of regular customers, and increase profits. We propose a method for priority-based admission control and scheduling of requests at the Web server system in order to differentiate Quality of Service (QoS) with regard to user-perceived delays, i.e., Web page response times provided by the system (as opposed to HTTP request resp…
Improving the quality of e-commerce web service: what is important for the request scheduling algorithm?
2005
The paper concerns a new research area that is Quality of Web Service (QoWS). The need for QoWS is motivated by a still growing number of Internet users, by a steady development and diversification of Web services, and especially by popularization of e-commerce applications. The goal of the paper is a critical analysis of the literature concerning scheduling algorithms for e-commerce Web servers. The paper characterizes factors affecting the load of the Web servers and discusses ways of improving their efficiency. Crucial QoWS requirements of the business Web server are identified: serving requests before their individual deadlines, supporting user session integrity, supporting different cl…
Application of neural network to predict purchases in online store
2016
A key ability of competitive online stores is effective prediction of customers’ purchase intentions as it makes it possible to apply personalized service strategy to convert visitors into buyers and increase sales conversion rates. Data mining and artificial intelligence techniques have proven to be successful in classification and prediction tasks in complex real-time systems, like e-commerce sites. In this paper we proposed a back-propagation neural network model aiming at predicting purchases in active user sessions in a Web store. The neural network training and evaluation was performed using a set of user sessions reconstructed from server log data. The proposed neural network was abl…
Using association rules to assess purchase probability in online stores
2016
The paper addresses the problem of e-customer behavior characterization based on Web server log data. We describe user sessions with the number of session features and aim to identify the features indicating a high probability of making a purchase for two customer groups: traditional customers and innovative customers. We discuss our approach aimed at assessing a purchase probability in a user session depending on categories of viewed products and session features. We apply association rule mining to real online bookstore data. The results show differences in factors indicating a high purchase probability in session for both customer types. The discovered association rules allow us to formu…
Aromatised Wines Regulation
2014
Council Regulation (EEC) No 1601/91 laying down general rules on the definition, description and presentation of aromatized wines, aromatized wine-based drinks and aromatized wine-product cocktails (hereinafter—the Aromatised Wines Regulation) regulates the operation of aromatised wines within the internal market.
Internet store development company SIA "LITE CANDLES"
2022
Bakalaura darbā ir aprakstīts kā COVID-19 pandēmija ir ietekmējusi e-komercija nozari un cik ātri sabiedrība adaptējās situācijai līdzi no iepirkšanās lielveikalos uz interneta veikalu iepirkšanos. Šajā skaitā uzņēmums SIA “LITE CANDLES” bija šādā situācijā, ka bija nepieciešams interneta veikals, lai uzņēmumu neapgrūtinātu valsts noteiktie ierobežojumi, pandēmijas dēļ. Autors izanalizēs uzņēmumu SIA “LITE CANDLES”, pamatos satura pārvaldības sistēmas izvēli un izveidos uzņēmumam interneta veikalu. Bakalaura darba apjoms ir 66 lapaspuses, 2 tabulas, 14 bildes, 2 pielikumi un 32 izmantotie literatūras avoti.
Modeling Static Aspects of Mobile Electronic Commerce Environments
2011
Mobile phones and other small and powerful portable devices have revolutionized personal communication and affected the lifestyles of the people in the industrialized world. Following credible estimates, in a few years there will be one billion of such portable devices. An emerging trend is the electronic commerce performed using mobile terminals, often called mobile commerce. Mobile commerce environments are characterized by high complexity, including myriads of technical and organizational aspects. This property makes it difficult to distinguish the more fundamental issues, structures, and concepts in mobile commerce from the hype. To capture the fundamental aspects of mobile commerce env…