Search Support System Research Articles

洋服探しサポートシステムの提案

洋服探しサポートシステムの提案

Development of a Tourist Information Search Support System that Reflects Interests Based on User's Gaze

In 2014, Tobii Tech and Eye Tribe released the first inexpensive non-contact eye tracking device, and eye tracking technology has been attracting more and more attention. It has long been said that gaze information can be used to infer a person's interests and attention, and the analysis of gaze position by eye tracking technology is also used for Search Engine Optimization (SEO). In addition, with the spread of information and communication technology, the Internet has become the most used media for "obtaining information on hobbies and entertainment," surpassing books, magazines, and television for all age groups except those in their 60s in Japan, The majority of information gathering has shifted to web browsing. As a result, the information gap between those who can use the Internet to collect information and those who cannot use it well, so-called digital divide, has become one of the social problems. Based on these background, we attempted to develop an interaction system that presents search keyword to get related information by using the user's eyes while browsing the web. Based on analysis of user's gaze and accumulation of web pages viewed by each user, this system can provide search keywords that reflect a user's interest, such as Tourism information or history information. We believe that this system can support users' web browsing by assisting them in gathering information on sightseeing and travel, presenting them with unexpected facilities that they did not know about, and making it easy for them to obtain a variety of related information.

C23] Building a Search Support System for Cultural Properties by Visualizing Feature Words

C23] Building a Search Support System for Cultural Properties by Visualizing Feature Words

Defect Cause Search Support System Using Manufacturing Information Ontology and Bayesian Network in LCD Manufacturing Process

Defect Cause Search Support System Using Manufacturing Information Ontology and Bayesian Network in LCD Manufacturing Process

Defect Cause Search Support System Using Ontology and Bayesian Network in Liquid Crystal Display Manufacturing Process

This paper describes a new defect cause search support system by combining Bayesian network and ontology to use the inherent production theory and the operation knowledge in the manufacturing process. The internal parameters, that are not measured as the actual data but can be calculated by mathematical model based on the production theory, often cause the truth of defects. In this study, these parameters information is used for the probabilistic inference of the defect cause by Bayesian network. The ontology is used for data dimension reduction, because too many dimensions of data deteriorates the estimation accuracy. Moreover, the calculation method of the similarity degree between the concepts in the ontology is used to search the new information about the production theory and the operation knowledge. This system was applied to the actual defect analysis in the liquid crystal display manufacturing process. As the result, F-measure that means the accuracy in Bayesian network has increased by 0.4905 drastically and the analysis time can be shortened to about 1/3.

A Biomedical Search Support System for Improving the Data Search Accuracy

Medical domain is a huge scientific domain where a large amount of data is available for analysis and discovery. In this proposed work a search improvement technique is suggested which provides guidelines for finding appropriate data during medicine search. That is because the basic search systems contains three major modules first query interface, second for search methodology and finally search ranking. User provide input to the search interface than the search system find the data from database according to the user query, finally results are ranked according to the relevancy of the user query. The proposed improvement is implemented on the query input phase for improving the user query for finding the more accurate and nearer medicines from the database.

The Design of Smart Search Support System in Data Information

This paper has discussed the design of the data information smart search support system according to certain data base, building phrase dictionary, and adopting the first code input of phrase spelling and Chin-English translation. It has achieved the functions such as the fast editing input and check of search code, and the dictionary maintain. Therefore, it has supported the person who searches information and the person who edits code fast with the data base.

A Menu-based Content Search Support System Considering Mobile User's Situations

Due to the popularization of mobile phones, many people search Web contents using their own mobile phones. Since people bring their mobile phones everywhere, they can search Web contents in various situations (e.g., walking and sitting). In particular, when users are walking, they cannot pay enough attentions to operate their devices and it is difficult to conduct complicated operations such as character inputting. In addition, users’ search objectives are also affected by the time and their location. To assist content search in such situations, in this paper, we propose a content search support system that presents a few options that enable mobile users to get desired contents easily considering the users’ situations. The system infers users’ situation based on sensory data and presents initial options considering users’ search objective corresponding to the inferred situation. Through a user experiment, we confirmed that participants could get desired information easily by using our system and it was effective to adaptively present options based on the inferred situations.

Supporting intelligent Web search

Search engines continue to struggle to provide everyday users with a service capable of delivering focussed results that are relevant to their information needs. Moreover, traditional search engines really only provide users with a starting point for their information search. That is, upon selecting a page from a search result list, the interaction between user and search engine is effectively over and the user must continue their search alone. In this article, we argue that a comprehensive search service needs to provide the user with more help, both at the result list level and beyond, and we outline some recommendations for intelligent Web search support. We introduce the SearchGuide Web search support system and we describe how it fulfils the requirements for a search support system, providing evaluation results where applicable.