Enterprise Models as Interface for Information Searching

2010 ◽  
pp. 27-42 ◽  
Author(s):  
Auriol Degbelo ◽  
Tanguy Matongo ◽  
Kurt Sandkuhl
Keyword(s):  
Information Searching ◽  
Enterprise Models

Aplikasi Deteksi Kemiripan Tugas Paper

2017 ◽  
Vol 15 (2) ◽  
pp. 5
Author(s):  
Anthony Anggrawan ◽  
Azhari
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Vector Space Model ◽  
Mean Average Precision ◽  
Average Precision ◽  
Information Searching ◽  
Space Model ◽  
Model Method

Information searching based on users’ query, which is hopefully able to find the documents based on users’ need, is known as Information Retrieval. This research uses Vector Space Model method in determining the similarity percentage of each student’s assignment. This research uses PHP programming and MySQL database. The finding is represented by ranking the similarity of document with query, with mean average precision value of 0,874. It shows how accurate the application with the examination done by the experts, which is gained from the evaluation with 5 queries that is compared to 25 samples of documents. If the number of counted assignments has higher similarity, thus the process of similarity counting needs more time, it depends on the assignment’s number which is submitted.

Chicken Algorithm Based Feature Selection For Arabic Information Searching System

2019 ◽  
pp. 389
Author(s):  
زينب عبدالأمير ◽  
علياء كريم عبدالحسن
Keyword(s):  
Feature Selection ◽  
Information Searching ◽  
Selection For

Dimensional Warehouses from Enterprise Models

2011 ◽  
pp. 337-356
Author(s):  
Charles D. Tupper
Keyword(s):  
Enterprise Models

Nonrecursive Models of Internet Use and Community Engagement: Questioning Whether Time Spent Online Erodes Social Capital

2002 ◽  
Vol 79 (4) ◽  
pp. 964-987 ◽  
Author(s):  
Dhavan Shah ◽  
Michael Schmierbach ◽  
Joshua Hawkins ◽  
Rodolfo Espino ◽  
Janet Donavan
Keyword(s):  
Community Engagement ◽  
Social Communication ◽  
Internet Use ◽  
Positive Relationship ◽  
Public Life ◽  
Reciprocal Relationship ◽  
Information Searching ◽  
Public Events ◽  
Recursive Models ◽  
Annual Frequency

Although some argue that Internet use may erode involvement in public life, the most common Internet behaviors, social communication and information searching, may actually foster social and civic participation. To examine this possibility, we test a series of non-recursive models using a national survey of nearly 3,400 respondents. Two-stage least squares regressions were performed to simultaneously test the reciprocal relationship between frequency of Internet use (i.e., hours per day) and three sets of community engagement behaviors: informal social interaction, attendance at public events, and participation in civic volunteerism (i.e., annual frequency). Time spent online has a positive relationship with public attendance and civic volunteerism. No evidence of time displacement from frequency of Internet use is observed.

Hubungan Pengetahuan Produk Minuman Kopi Terhadap Keputusan Pemilihan Minuman Di Coffee Shop “404 Eatery And Coffee”

2020 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
Jessica Rizky Darda ◽  
Mariani ◽  
Ridawati
Keyword(s):  
Survey Methods ◽  
Purchase Decision ◽  
Regression Result ◽  
Product Knowledge ◽  
Product Attributes ◽  
Information Searching ◽  
Coffee Shop ◽  
Food And Beverages ◽  
Coffee Shops

Nowadays drinking coffee in a coffee shop become a trend and a lifestyle in Indonesia. At the first coffee shop is one kind of a food and beverages industries that only focus for served only coffee. But, as long as food and beverages industries getting bigger, coffee shops did some innovation to their menus. They are not only serving coffee, coffee shops has another option for non coffee people. The innovation has bring the new problem for consumer and it is called as a purchase decision. The purchase decision has some factors that maybe can impact to itself, one  of  them is product knowledge. This research is about to find the correlation between product knowledge and purchase decision in coffee shop “404 eatery and coffee”. This research used explanatory survey methods and used questionnaire as an instrument. The instrument separated into two questionnaire, the first questionnaire is about product knowledge which has fouth indicator :product attributes, the functional benefits, the pshycologic benefits, and points of product. For the second questionnaire it has fifth indicator : introduction of needs, information searching, alternative evaluates, buying decision and post buying decision. The result of this research showed that x variable (product knowledge) has  a significant correlation to y variable (purchase decision) with the positively and significantly of  regression result (0,98) Keywords: Product knowledge, purchase decision, coffee shop, coffee

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.

Sign in / Sign up

Export Citation Format

Share Document