Design and implementation of domain-specific business information search system in Electronic Commerce environment

2009 ◽  
Author(s):  
Ruijun Xia ◽  
Qing Wang ◽  
Dingwei Wang ◽  
Lili Liu
Keyword(s):  
Electronic Commerce ◽  
Information Search ◽  
Search System ◽  
Domain Specific ◽  
Design And Implementation ◽  
Business Information

scholarly journals DESIGN AND IMPLEMENTATION OF THE INFORMATION SEARCH SYSTEM "GRADUATE"

2019 ◽  
Vol 1 (1) ◽  
pp. 46-51
Author(s):  
O. V. Kuzmin ◽  
◽  
T. Ya. Yatsyshyn ◽  
Keyword(s):  
Information Search ◽  
End User ◽  
Search System ◽  
Design And Implementation ◽  
Front End

One of the ma­in in­di­ca­tors of the ra­ting of Uk­ra­ini­an uni­ver­si­ti­es is the qua­lity of pre­pa­ra­ti­on of fu­tu­re grad­ua­tes. The qua­lity of the grad­ua­te's tra­ining may be ref­lec­ted with a pos­si­bi­lity of his employ­ment. It is im­pos­sib­le to track ca­re­er growth of grad­ua­tes wit­ho­ut cre­ati­on of centra­li­zed in­for­ma­ti­onal sto­ra­ge to co­ver this pro­cess as well as pos­si­bi­lity for grad­ua­te to in­put in­for­ma­ti­on abo­ut his employ­ment. Ma­in aim of cre­ati­on of in­for­ma­ti­on se­arch system grad­ua­te was to pro­vi­de dif­fe­rent de­partments of Uk­ra­ini­an uni­ver­si­ti­es with softwa­re so­lu­ti­on which co­uld sto­re grad­ua­tes re­la­ted in­for­ma­ti­on. To cre­ate the softwa­re so­lu­ti­on and ac­hi­eve the go­als, a web-ba­sed system was de­ve­lo­ped that runs on a cli­ent-ser­ver archi­tec­tu­ral templa­te with cli­ent si­de cre­ated as single pa­ge appli­ca­ti­on, appli­ca­ti­on dep­lo­yed on Win­dows Web Ser­ver 2016. The system inclu­des: cli­ent-ser­ver appli­ca­ti­on for use by de­partment staff and grad­ua­tes; functi­ona­lity for fil­ling the da­ta­ba­se (da­ta­ba­se) with new grad­ua­tes of the de­partment, and up­da­ting of al­re­ady exis­ting re­cords abo­ut grad­ua­tes; functi­ona­lity ex­po­sed for de­partments staff with se­arch for grad­ua­tes with in­for­ma­ti­on abo­ut the­ir stud­ying in uni­ver­sity; sta­tis­ti­cal in­for­ma­ti­on on grad­ua­tes ba­sed on se­lec­ted cri­te­ria; functi­ona­lity for grad­ua­tes to up­da­te ca­re­er in­for­ma­ti­on and ac­hi­eve­ments. For gi­ven softwa­re so­lu­ti­on re­la­ti­onal da­ta­ba­se was de­sig­ned and ex­po­sed with the help of MS SQL Ser­ver ca­pa­bi­li­ti­es. The system was de­ve­lo­ped with the help of C # prog­ram­ming lan­gua­ge, using ASP.NET Co­re techno­logy in par­ti­cu­lar for bac­kend, for front-end – user-fri­endly in­ter­fa­ces using HTML, CSS 3, and Ja­vaScript ba­sed on Re­act lib­rary and JSX ex­ten­si­on, with ele­ments of the Bo­otstrap lib­rary.

Tourism Information Search System Based on Android Mobile Phone

2014 ◽  
Vol 687-691 ◽  
pp. 2728-2731
Author(s):  
Yan Hu
Keyword(s):  
Mobile Phone ◽  
Information Search ◽  
Multimedia Application ◽  
Normal Operation ◽  
Application Software ◽  
Search System ◽  
Google Maps ◽  
Operation System ◽  
Guide System ◽  
Tourism Information

In this paper, a design and an implementation on an intelligent guide system based on Android platform is proposed. The hardware of system is based on ARM platform, and the schematics of its main modules such as power, SDRAM are given. Then Android operation system is transplanted on the ARM platform. On this basis, the application software is developed using Eclipse and Android SDK, and it is consisted of three modules: multimedia application, web maps and recording. The module of multimedia application includes audio, picture and video. Web maps can display Google Maps on the device and achieve positioning. The record module has implemented the several normal operation on a record, such as creating, modifying and displaying.

Semantic Representation of a Geo-Social User Profile for a Personalised Information Retrieval

2021 ◽  
pp. 2150044
Author(s):  
Tahar Rafa ◽  
Samir Kechid
Keyword(s):  
Information Retrieval ◽  
Information Search ◽  
Semantic Representation ◽  
User Profile ◽  
Search Process ◽  
Search System ◽  
User Interactions ◽  
User Interests ◽  
Situational Contexts ◽  
User Query

The user-centred information retrieval needs to introduce semantics into the user modelling for a meaningful representation of user interests. The semantic representation of the user interests helps to improve the identification of the user’s future cognitive needs. In this paper, we present a semantic-based approach for a personalised information retrieval. This approach is based on the design and the exploitation of a user profile to represent the user and his interests. In this user profile, we combine an ontological semantics issued from WordNet ontology, and a personal semantics issued from the different user interactions with the search system and with his social and situational contexts of his previous searches. The personal semantics considers the co-occurrence relations between relevant components of the user profile as semantic links. The user profile is used to improve two important phases of the information search process: (i) expansion of the initial user query and (ii) adaptation of the search results to the user interests.

scholarly journals Understanding collaborative tourism information searching to support online travel planning

2019 ◽  
Vol 43 (3) ◽  
pp. 369-386 ◽  
Author(s):  
Abu Shamim Mohammad Arif ◽  
Jia Tina Du
Keyword(s):  
Information Search ◽  
User Study ◽  
Ease Of Use ◽  
Online Information ◽  
Information Searching ◽  
Search System ◽  
Content Type ◽  
Travel Planning ◽  
Collaborative Search ◽  
Tourism Information

Purpose Collaborative information searching is common for people when planning their group trip. However, little research has explored how tourists collaborate during information search. Existing tourism Web portals or search engines rarely support tourists’ collaborative information search activities. Taking advantage of previous studies of collaborative tourism information search behavior, in the current paper the purpose of this paper is to propose the design of a collaborative search system collaborative tourism information search (ColTIS) to support online information search and travel planning. Design/methodology/approach ColTIS was evaluated and compared with Google Talk-embedded Tripadvisor.com through a user study involving 18 pairs of participants. The data included pre- and post-search questionnaires, web search logs and chat history. For quantitative measurement, statistical analysis was performed using SPSS; for log data and the qualitative feedback from participants, the content analysis was employed. Findings Results suggest that collaborative query formulation, division of search tasks, chatting and results sharing are important means to facilitate tourists’ collaborative search. ColTIS was found to outperform Tripadvisor significantly regarding the ease of use, collaborative support and system usefulness. Originality/value The innovation of the study lies in the development of an integrated real-time collaborative tourism information search system with unique features. These features include collaborative query reformulation, travel planner and automatic result and query sharing that assist multiple people search for holiday information together. For system designers and tourism practitioners, implications are provided.

scholarly journals Decision Making Processes and Outcomes

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Julie Hicks Patrick ◽  
Jenessa C. Steele ◽  
S. Melinda Spencer
Keyword(s):  
Decision Making ◽  
Working Memory ◽  
Information Search ◽  
Linear Regression Analysis ◽  
Individual Characteristics ◽  
Decision Quality ◽  
Quality Data ◽  
Solution Quality ◽  
Strategic Processing ◽  
Domain Specific

The primary aim of this study was to examine the contributions of individual characteristics and strategic processing to the prediction of decision quality. Data were provided by 176 adults, ages 18 to 93 years, who completed computerized decision-making vignettes and a battery of demographic and cognitive measures. We examined the relations among age, domain-specific experience, working memory, and three measures of strategic information search to the prediction of solution quality using a 4-step hierarchical linear regression analysis. Working memory and two measures of strategic processing uniquely contributed to the variance explained. Results are discussed in terms of potential advances to both theory and intervention efforts.

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