Search results

Consider the prospects for keyword searching with the advent of user‐access to PRISM interlibrary lending system in December 1992. Offers some helpful avice for starting out with PRISM. Considers restrictions to using keyword searching for CAT ME Plus and CAT CD450 users. Outlines keyword commands, keyword searches, character masking, HRR prompt and revise features, error messages and Help as well as Internet access.

This paper intends to examine the antecedents of perceived creativity and flow experience in order to understand how consumers' advertisement keywords browsing influences their searching intentions and/or behaviours regarding purchase. In addition, it aims to consider two kinds of intentions in the theory of planned behaviour (TPB) to facilitate the translation of intentions into behaviour.

Research constructs were drawn from pre‐validated measurement items. An online survey was conducted at my3q.com. A total of 368 surveys were returned. The results were analysed using structural equation modelling with Smart PLS 2.0.

The results show that flow experience positively affects the users' attitude toward keyword searching, the intention to search keywords, controllability, and self‐efficacy. The antecedent belief of perceived creativity also positively influences the attitude toward keyword searching. The overall TPB model is effective in terms of predicting consumers' online keyword search behaviours; the intention to purchase a product especially affects a consumer's intention to search keywords online.

To attract consumers companies have to use combined marketing strategies to provide creative advertisements to make their products look appealing. Moreover, advertisements that are fun and make people feel curious would also be appealing and make the consumers feel that they are able or resourceful enough to find the keywords.

Two kinds of intentions – intention to purchase a product and intention to search keywords online – are simultaneously considered in this study. Moreover, the combination of flow theory, perceived creativity and TPB demonstrates an appropriate theoretical basis to examine consumers' online keyword search behaviours.

This study aims to address the following research questions: Do the two types of service firms (individual or aggregator) have similar competitiveness on online search ads? How should the two types of service firms select optimal branded keywords to improve search performance? In addition, how do consumers’ search queries influence the service search performance of the two types of service firms?

In this study, the authors conduct an empirical analysis by building a two-stage choice modeling on the process of search engine ranking and consumer click-through decisions. The authors estimate the parameter coefficients and test the hypotheses using maximum likelihood estimation in the logistic regression model.

The empirical findings suggest that consumer response rates are highly dependent upon three aspects (service types, branded keyword strategy and consumer search query). First, the authors found that service aggregators receive greater consumer responses than individual service providers. Second, depending upon the various branded keyword strategies (e.g. generic vs branded, “within-type” vs “cross-type”) implemented by service aggregators or individual firms, the expected consumer responses could be quite different. Finally, customer’s search query, being either generic or branded, also has direct effect and interactive effect with service type on how consumers would response to the sponsored ads in the service search process.

The limitation of the research is twofold. First, conversion rate is not considered in the model estimation due to the nature of the data set. Second, the discussion about the keywords selection strategies is focusing on the hospitality industry. Future research shall further validate the generalizability into other industries.

First, given this competitive advantage, service aggregators should take an aggressive approach to adopting paid search strategy in acquiring new users and enhance its brand salience in the service ecosystem. Second, when considering other competitor’s brand names to include, if a firm is a service provider (e.g. hotel), a strategy that can help it receive higher consumer response would be to use “within-type” rather than “cross-type” branded keyword strategy. If a firm is a service aggregator, a better branded keyword strategy would be to use “across-type” instead of “within-type” approach. In addition, given that consumer’s brand awareness can influence the effectiveness of branded keyword strategy, online service search should target consumers in earlier stages of a decision journey.

The authors believe their theoretical framework can provide actionable solutions to service firms to ease customer’s search process, increase customer’s stickiness using search engines and add value to the customer relationships with all services entities within the digital ecosystem.

This study is the first to expand online search marketing into granule examinations (main and interactive effects of three key factors) in the service search domain. First, the authors differentiate service firms into two categories – online travel aggregators and individual hotels in the model. Second, the authors introduce two sets of new classifications of branded keywords for online service search research (i.e. own versus other brand and “cross-type” versus “within-type” branded keywords). Third, this study integrates service consumers’ search word specificity into the conceptual framework which is often missing in previous online search research.

Search trees are a set of paths with branches or choices that enable a system to carry out the most sensible search approach at each stage of a search. A new design for subject access to online catalogs enlists search trees to identify the characteristics of end‐user queries for subjects, control system responses, and determine appropriate subject‐searching approaches in response to the subject queries users entered. The purpose of this article is to identify characteristics of the most difficult user queries and recommend enhancements to the new subject‐searching design to enable it to produce useful retrievals in response to the wide variety of queries users pose to online catalogs. Online catalogs governed by search trees are more effective than the users themselves in selecting subject‐searching approaches that would produce useful information for the subjects users seek. The enhanced search trees presented and tested in this article enlist subject‐searching approaches that are not typical of the functionality of operational online catalogs. Design and development is required to upgrade existing online catalogs with search trees and new subject‐searching functionality to be successful in responding with useful retrievals to the most difficult user queries.

Semantic technologies are a potential approach to enhancing the use of the web of knowledge. An experiment was conducted to investigate the roles of two semantic techniques, namely concept recommendation and mind maps, for females and males This paper aims to document this research.

The study compared the searching behaviours and perceptions of searching strategies in the search environment with techniques to reveal the gender difference in the use of semantic technologies. The study further investigated how the techniques influenced female and male students' searching experiences by comparing their searching behaviours and strategies in two different environments, one developed with the semantic technologies and one without.

Although the techniques were helpful for both female and male students in improving their perceptions of searching strategies, there were gender differences in sense of disorientation, problem solving and searching patterns. In particular, the techniques facilitated females to search for information beyond similarity holes, but did not demonstrate such an effect on males. However, they supported males to organize information for better use.

The study is only a small‐scale investigation. Further studies need to be conducted with a larger sample to obtain robust evidence.

In this paper, the effects of semantic technologies are evaluated from the perspectives of education and the human factor, rather than only in terms of technical performance.

In order to compare the value of subject descriptors and title keywords as entries to subject searches, two studies were carried out. Both studies concentrated on monographs in the humanities and social sciences, held by the online public access catalogue of the National Library of the Netherlands. In the first study, a comparison was made by subject librarians between the subject descriptors and the title keywords of 475 records. They could express their opinion on a scale from 1 (descriptor is exactly or almost the same as word in title) to 7 (descriptor does not appear in title at all). It was concluded that 37 per cent of the records are considerably enhanced by a subject descriptor, and 49 per cent slightly or considerably enhanced. In the second study, subject librarians performed subject searches using title keywords and subject descriptors on the same topic. The relative recall amounted to 48 per cent and 86 per cent respectively. Failure analysis revealed the reasons why so many records that were found by subject descriptors were not found by title keywords. First, although completely meaningless titles hardly ever appear, the title of a publication does not always offer sufficient clues for title keyword searching. In those cases, descriptors may enhance the record of a publication. A second and even more important task of subject descriptors is controlling the vocabulary. Many relevant titles cannot be retrieved by title keyword searching because of the wide diversity of ways of expressing a topic. Descriptors take away the burden of vocabulary control from the user.

In purpose of this paper is to propose a novel scheme to process XPath-based keyword search over Extensible Markup Language (XML) streams, where one can specify query keywords and XPath-based filtering conditions at the same time. Experimental results prove that our proposed scheme can efficiently and practically process XPath-based keyword search over XML streams.

To allow XPath-based keyword search over XML streams, it was attempted to integrate YFilter (Diao et al., 2003) with CKStream (Hummel et al., 2011). More precisely, the nondeterministic finite automation (NFA) of YFilter is extended so that keyword matching at text nodes is supported. Next, the stack data structure is modified by integrating set of NFA states in YFilter with bitmaps generated from set of keyword queries in CKStream.

Extensive experiments were conducted using both synthetic and real data set to show the effectiveness of the proposed method. The experimental results showed that the accuracy of the proposed method was better than the baseline method (CKStream), while it consumed less memory. Moreover, the proposed scheme showed good scalability with respect to the number of queries.

Due to the rapid diffusion of XML streams, the demand for querying such information is also growing. In such a situation, the ability to query by combining XPath and keyword search is important, because it is easy to use, but powerful means to query XML streams. However, none of existing works has addressed this issue. This work is to cope with this problem by combining an existing XPath-based YFilter and a keyword-search-based CKStream for XML streams to enable XPath-based keyword search.

The first part of the paper describes the results of an extensive search into two factors which effect, to a high degree, the efficiency of online information retrieval: (i) the manner by which classification codes and keywords are chosen as a means of retrieval by the reviewers of the reference work (ii) the degree in which papers with comparable contents are accorded similar keywords. The influence of these two factors on the practical results is shown by the example of extensive searches: these searches were done manually as well as online. It was concluded that the efficiency of the assigned keywords was very low, owing to their insufficient accuracy and the large number of synonyms, spellings and other words that there may be to express one idea. The purpose of the analysis as described in the second part of the paper is to examine the possibility of finding a good search strategy, in spite of the low efficiency of the assigned keywords, that costs little and has a high efficiency factor. Therefore, a three‐fold situation is examined: (i) the relationship of the search strategy to (ii) the factors affecting cost, and (iii) the efficiency of retrieval. The problems arising in choosing a search strategy are examined; 14 different methods were selected from the large number of possibilities to formulate a search. A method of calculating the factors which affect the connect‐time cost and the offprint costs is worked out. The various strategies, employed to achieve the greatest improvements in cost and efficiency, include classification codes and keywords (subject headings and free terms). This procedure was carried out via an ESA terminal. The results are presented in the form of tables comparing the size of the factors affecting the cost, the judged cost per relevant item and the efficiency of retrieval. The conclusion is that the best search consists of using the classification codes, including the subject, coupled with some carefully selected free terms, for the simplest method, the lowest cost and the highest efficiency of retrieval.