14971936
Does Familiarity Breed Content? Taking Account of Familiarity with a Topic in Personalizing Information Retrieval
We report on an evaluation of the effectiveness of considering a user's familiarity with a topic in improving information retrieval performance. This approach to personalization is based on previous results indicating differences in user search behavior and judgments according to his/her familiarity to the topic explored, and to research on using implicit sources of evidence to determine the user's context and preferences. Our attempt was to relate a topic-dependent concept and measure, familiarity with the topic, with topic-independent measures of documents such as readability, concreteness/abstractness, and specificity/generality. Contrary to our expectations, a user’s familiarity with a topic has no effect on the utility of readability or concrete/abstract scoring. We are encouraged, however, to find that high readability had a positive effect on search results, regardless of a user’s familiarity with a topic.
3132637
Selecting books: a performance-based study
Our research compares the impact of paper vs. electronic presentation of text on the book selection process. Our focus is on the stage of book selection in which users study the content of a book to decide whether it is useful for their intended purpose. Effectiveness is operationalized as accurate determination of whether a non-fiction book contains enough discussion of a particular topic to be useful for a research paper. 24 undergraduates participated in a balanced study in which they were given a topic-book pair and asked to decide whether the book was useful for the topic. We explore the differences in performance, with specific reference to the role of the search function, table-of-contents and index
22924389
User preference: A measure of query-term quality
205485574
Assessing term effectiveness in the interactive information access process
This study addresses the question of whether the way in which sets of query terms are identified has an impact on the effectiveness of users' information seeking efforts. Query terms are text strings used as input to an information access system; they are products of a method or grammar that identifies a set of query terms. We conducted an experiment that compared the effectiveness of sets of query terms identified for a single book by three different methods. One had been previously prepared by a human indexer for a back-of-the-book index. The other two were identified by computer programs that used a combination of linguistic and statistical criteria to extract terms from full text. Effectiveness was measured by (1) whether selected query terms led participants to correct answers and (2) how long it took participants to obtain correct answers. Our results show that two sets of terms - the human terms and the set selected according to the linguistically more sophisticated criteria - were significantly more effective than the third set of terms. This single case demonstrates that query languages do have a measurable impact on the effectiveness of query term languages in the interactive information access process. The procedure described in this paper can be used to assess the effectiveness for information seekers of query terms identified by any query language.
14319592
The Development and Status of Automobile E-Commerce in China
Although the hype surrounding the promise of electronic commerce seems all pervasive currently, there is an absence of research on automobile eCommerce, especially in developing countries, which covers wide-ranging issues beyond contextual imperatives. This paper tries to fill in the gap, by analyzing the impacts of eCommerce on automobile industry in China, and the factors of eCommerce adoption and development of automobile industry in China from internal, external and contextual perspectives, after describing the internet and ecommerce in china. From the situation of automobile ecommerce in China, the paper finds that the automobile industry in China, especially automobile sales, remains only superficially affected by the ecommerce. This is a big difference from the developed countries such as U.S. The paper also displays the important aspects to the development of automobile ecommerce in China such as infrastructure, role of the central government, serving the customer better, security, customer trust, delivery, and so on.
15609476
An Online Personalized Recommendation Model Based on Bayesian Networks
It is one of an important method of using Bayesian networks in electronic commercial recommended system. But the models of Bayesian networks for describing recommended system have a problem that it could not learn online. The paper puts forward an online personalized recommended model based on Bayesian networks. The paper uses a partial ordering to represent previous structure and find posterior distributions of every node on the orders to realize online structure learning. It also uses a correctional function to revise log likelihood for online parameter learning. The experiment shows that the model can be learned online for personalized recommended system.
16303483
A Case Study of Enterprise Application Integration Based on Workflow Management System
Work flow management system (WFMS) is a flexible tool for enterprise application integration (EAI). The EAI implement with work flow technology is cheap and convenient. This enlarges the view of enterprises and gives them an opportunity to integrate their legacy applications by advanced IT technology. By study on environment and stratagem of enterprises, this paper establishes a solution of the EAI based on work flow management system and presents an EAI framework with an embedded workflow management component to support business-to-business operations. Nowadays, however, such system is not common. A case study of EAI implement in Tianjin Port is presented and a brief overview of the current enterprise applications and information systems in this enterprise are also presented.
6788128
Airport Internal Safety Risk Assessment using Fuzzy Hierarchy Process Approach
This paper offers an assessment of airport internal safety risk. It deals with general concept of risk and safety, describes the main causes of airport risk. A model based on fuzzy simulation technique and hierarchical structure analysis is developed to evaluate the airport internal safety risk. With the use of linguistic terms, subjective assessments of qualitative safety risk indexes are represented with fuzzy variable. The relative weights of safety attributes are assessed using a pairwise comparison process. Based on the concept of optimality, fuzzy simulation approach is employed to dispose of the evaluation model and compute the expected values. Then the shortcoming of the traditional analytic hierarchy process (AHP) is made up. Finally, an empirical study about a major domestic airport is conducted to demonstrate the effectiveness of the approach.
694781
A Decentralized Resource Discovery Based on Keywords Combinations and Node Clusters in Knowledge Grid
The organization and discovery of grid resources are foundational and key subjects in grid research. Many research works in this field have presented the solutions to the problem, but few of them are focused on knowledge resources. This paper aims to explore how to support user's knowledge requests submitted in form of multi-keywords. We present a decentralized resource discovery method based on keyword combinations and node clusters. In the method, hot keyword combinations are formed based on user's knowledge requests. Then, grid nodes can be clustered according to these keyword combinations and user's knowledge requests will be transmitted to those clusters that have high correlations with the requests.