12. FEATURES OF INFORMATION RESOURCES PROCESSING IN ELECTRONIC CONTENT COMMERCE
12.1. INFORMATION
The electronic content commerce systems (ECCS) creation and implementation is one of the important areas of e-business development. A characteristic of such systems is the automatic processing of information resources. This helps to increase content sales volumes for a regular user, the active involvement of potential users and the boundaries expansion of the target audience [1-2]. In particular, the principles and technologies of electronic content commerce are used actively in the systems creation for on-line/off-line sales and content analysis/exchange/saving, сloud storage/computing, online shop [2]. The problems of electronic content commerce systems design, development, implementation and maintenance are topical. This is in view to such factors as the active development of research in the e-business area, the theoretical justification lack of standardized methods and need for the software unification of information resources processing in such systems [1-2, 9-19].
Regularly appear the new approaches and solutions to this problem, but the important issue is the discrepancy between the known methods and means of information resources processing and principles of electronic content commerce systems building. There are lack of general approaches of ECCS creation and standardized methods of information resources processing in these systems [2]. Specialists in ECCS designing, implementation and deployment have to deal with different processes of information resources processing. They contribute o an increase of content sales volumes for a regular user, the active involvement of potential users and the boundaries expansion of the target audience [1-2, 4].
12.2. THE ANALYTICAL PROCESSES OF COMMERCIAL CONTENT PROCESSING
12.2.1. SET-THEORETIC MODEL OF ELECTRONIC CONTENT COMMERCE SYSTEMS
The main processes of information resources processing in electronic content commerce systems are the content formation, management and support (Fig. 1). Their scheme of connections is the following: content formation ® content management ® content support.
Functioning of electronic content commerce systems is described by the following scheme of the main components links in this system:
- for the process of an information resource formation: content ®commercial content formation®commercial content database®commercial content management®information resource of system,
- for the formation process of answers to a user's query: user's query ®commercial content management®information resource of system®commercial content support®system user database,
- for the formation process of the system working report to moderator: a moderator request ®commercial content support®users system database®commercial content management®report to moderator,
- for the moderation process of internal system parameters: a moderator request ®commercial content formation®commercial content support®rules database®commercial content management®results.
Fig. 1. Features of the information resources processing in electronic content commerce systems
Set-theoretic model of electronic content commerce systems is described as
| , | (1) |
where the value – set of input data from different sources at ; the value – set by user requests at ; the value – the operator of a commercial content formation; the value – set of internal parameters in the system at ; the value – commercial content set at ; the value – the influence parameters set of the external environment on the system at ; the value – the operator of commercial content management; value – operator of commercial content support; the value – pages set of information resource in the system at ; value – transaction time of information resource processing in the system at ; the value – statistical data set in the system at .
The value is determined by using Google Analytics, where – visits number over a time period , – the average time spent on an information resource (min:c) for a time period , – an failures indicator (%) for a time period , – achieved purpose of commercial content finding, – the dynamics of the content lifecycle (%), – the total number of page views for a time period , – the number of page views per visit, – new visits (%), – absolute unique visitors, – traffic sources (direct referrals, referrals from search engines, referrals from other sites, etc.) in %, etc. [5].
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