Comparative Move Analysis of Chinese and English Product Description on eBay

Based on the move analysis theory of the ESP school, this research selects 10 product description pages of both Chinese and American e-stores on the international e-commerce platform eBay as the corpus of this paper. Quantitative analysis is used to compare the distinctive move structures of the product description in Chinese and American e-stores in order to find out the similarities and differences of moves employed between different countries and try to give explanations for the reasons behind these differences from the perspective of cross-cultural communication. The results of this paper can be regarded as a valuable resource for those online shoppers from both China and America so that they can have a better idea to edit the product detail page and it is hoped that this paper could also provide some inspiration on the ESP teaching.

A Novel Approach for Developing Web Blog APP

The main aim of this project is to provide data to students in only one site. Students can gather the information from one site as well as give their feedback and create their own blog. Students can post their views and thought and analyse themselves. Besides all such core functionalities, the application also includes features like FAQ, request, feedback etc. so as to provide a satisfactory user experience. The homepage will list all blog posts, and there will be a dedicated detail page for each individual post. A blog is a great addition to any personal portfolio site. Whether you update it monthly or weekly, it’s a great place to share your knowledge as you learn. If user wants to access database and want to post a blog they have to sign in that they have created. In this section, you’re going to build a fully functioning blog that will allow you to perform the following tasks like create, update, and delete blog posts, display posts to the user as either an index view or a detail view and assign categories to posts and allow users to comment on posts.

Child Protection App

Nowadays 80% of the world carry smartphones for different purposes. The significant issue of a youngster missing can be illuminated with the assistance of a child tracking framework. We have seen a lot of cases where children are kidnapped, humiliated and forced to beg at different signals or are forced to indulge in criminal activities like theft, drug dealing,loots, for terrorist activities. If children retaliate they are brutally punished and are even torched to the worst. The vast majority of children are arrested for selling crack, heroin, cocaine or chain-snatching, etc.he picture says a thousand words than the text. Using this we have come up with uploading images, and the necessary details. The best part is not mandatory to insert each detail but the more you provide the more easily it is to get them. The database search for similar data of children’s missing shows up the details matching if found in the database Then a detail page having similar matching information opens up. If the new case is registered then the tracking number is generated which can be tracked. In meanwhile automatically the case is shared on various platforms of social media which include facebook, twitter, Instagram, etc.The app is highly scalable, the database can be extended to any extent as it uses Salesforce cloud technology which makes it reliable, fast and without the headache of infrastructure. With half of missing kids remaining untraced, there should be more prominent coordination between youngster government assistance bodies and the police. for police change, limit constructing and prepared Human Resources to break these cases. “Tracking with the cell phones from which a youngster has been called, mapping powerless regions, this can help in examination and anticipation”.

Testing for Recommendation Method in M-Health Sports Venue Recommendation System

Exercising can make the body produce more endorphins so people with regular exercise are more resistant to stress than those who have little physical activity. We can get a recommendation of the sport venue in search engine, but it can’t accommodate personal preference. The mobile application for sports venue recommendations (M-health) with specific attribute weighting that can accommodate user preference for a specific attribute can be implemented with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm. TOPSIS was chosen as a recommendation algorithm because it has a relatively low level of algorithm complexity, so it is suitable to apply in mobile devices. To test the recommendations that are processed with TOPSIS, correlation testing is done as an alternative test besides accuracy. In general, the system takes the user's location coordinates and then recommends a Futsal court based on location, price and the number of courts. First, the user is inquired to enter the weights for each criterion. Then the user gets a recommendation for a Futsal court recommendation according to the user's current location. If the user wants detailed information about the desired futsal location, the user can click on one of the futsal places and then the detail page will be appear. After seeing the details of the selected futsal place, users can view the map to go to the relevant sports venue from the user's current location. Testing the recommendation system was based on correlation testing to see the correlation between the recommendations built by the system compared to the user's preference choices. Correlation testing was carried out to see whether there was a relationship between the results of the TOPSIS recommendation and the user's preference of sport venue. The correlation between them shows a positive correlation with a value of 0.770769231.

Journal Scholar Metrics: building an Arts, Humanities, and Social Sciences journal ranking with Google Scholar data

This paper describes the creation of “Journal Scholar Metrics” (JSM), a prototype web application that ranks journals in the areas of Arts, Humanities, and Social Sciences (AH&SS) on the basis of the citations their articles have received according to Google Scholar Metrics (GSM). To identify as many AH&SS journals as possible, a master list of 66,454 journals covered by various databases was developed. All AH&SS journals in that list were searched on GSM. Additionally, a series of keyword searches were carried out to identify journals covered by GSM which weren’t present in the master list. A total of 9,188 AH&SS journals with names written in Latin characters were found in the 2015 edition of GSM (which displays data about articles published between 2010 and 2014). Besides the journal-level indicators provided by GSM (H5-index and H5-median), several additional indicators were computed (H5-citations, H5-index and H5-citations without journal self-citations, and journal self-citation rate). Journals are displayed by subject categories and by country of publication. Quartiles were computed for each category, and journals in a category were further classified either as core (high affinity to the category) or related (partial affinity). A detail page for each journal is also available, displaying journal indicators, as well as a list of other databases were the journal is indexed.

Empirical Insights on the Effect of User-Generated Website Features on Micro-Conversions

Based on 2.91 million user sessions, this study analyzes the effect of user-generated social-shopping features on micro-conversions. In the authors’ specific case of a social shopping community (SSC), the authors define a micro-conversion as a visit to a product-detail page. These visits are a requisite for visits to participating online-shops (click-out) for which the operator of a SSC receives a fee. In addition to general metrics and traditional Website shopping features, several user-generated social shopping features, such as recommendation lists, styles (e.g., user-generated assortments), tags, and user profiles are analyzed. Lists, styles, and tags positively affect the number of micro-conversions indicating their ability to facilitate browsing and product shopping. In contrast, the authors’ results show a negative effect of user profiles on the number of micro-conversions. However, profiles facilitate community building activities. Implications for researchers and management are provided.