Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 13. Juni 2017)
1Tamine, L. ; Chouquet, C.: On the impact of domain expertise on query formulation, relevance assessment and retrieval performance in clinical settings.
In: Information processing and management. 53(2017) no.2, S.332-350.
Abstract: The large volumes of medical information available on the web may provide answers for a wide range of users attempting to solve health-related problems. While experts generally utilize reliable resources for diagnosis search and professional development, novices utilize different (social) web resources to obtain information that helps them manage their health or the health of people who they care for. A diverse number of related search topics address clinical diagnosis, advice searching, information sharing, connecting with experts, etc. This paper focuses on the extent to which expertise can impact clinical query formulation, document relevance assessment and retrieval performance in the context of tailoring retrieval models and systems to experts vs. non-experts. The results show that medical domain expertise 1) plays an important role in the lexical representations of information needs; 2) significantly influences the perception of relevance even among users with similar levels of expertise and 3) reinforces the idea that a single ground truth does not exist, thereby leading to the variability of system rankings with respect to the level of user's expertise. The findings of this study presents opportunities for the design of personalized health-related IR systems, but also for providing insights about the evaluation of such systems.
Inhalt: Vgl.: http://www.sciencedirect.com/science/article/pii/S030645731630303X [http://dx.doi.org/10.1016/j.ipm.2016.11.004].
2Sanchiza, M. ; Chinb, J. ; Chevaliera, A. ; Fuc, W.T. ; Amadieua, F. ; Hed, J.: Searching for information on the web : impact of cognitive aging, prior domain knowledge and complexity of the search problems.
In: Information processing and management. 53(2017) no.1, S.281-294.
Abstract: This study focuses on the impact of age, prior domain knowledge and cognitive abilities on performance, query production and navigation strategies during information searching. Twenty older adults and nineteen young adults had to answer 12 information search problems of varying nature within two domain knowledge: health and manga. In each domain, participants had to perform two simple fact-finding problems (keywords provided and answer directly accessible on the search engine results page), two difficult fact-finding problems (keywords had to be inferred) and two open-ended information search problems (multiple answers possible and navigation necessary). Results showed that prior domain knowledge helped older adults improve navigation (i.e. reduced the number of webpages visited and thus decreased the feeling of disorientation), query production and reformulation (i.e. they formulated semantically more specific queries, and they inferred a greater number of new keywords).
Inhalt: Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316301923 [http://dx.doi.org/10.1016/j.ipm.2016.09.003].
Themenfeld: Internet ; Suchtaktik
3Ren, P. ; Chen, Z. ; Ma, J. ; Zhang, Z. ; Si, L. ; Wang, S.: Detecting temporal patterns of user queries.
In: Journal of the Association for Information Science and Technology. 67(2017) no.1, S.113-128.
Abstract: Query classification is an important part of exploring the characteristics of web queries. Existing studies are mainly based on Broder's classification scheme and classify user queries into navigational, informational, and transactional categories according to users' information needs. In this article, we present a novel classification scheme from the perspective of queries' temporal patterns. Queries' temporal patterns are inherent time series patterns of the search volumes of queries that reflect the evolution of the popularity of a query over time. By analyzing the temporal patterns of queries, search engines can more deeply understand the users' search intents and thus improve performance. Furthermore, we extract three groups of features based on the queries' search volume time series and use a support vector machine (SVM) to automatically detect the temporal patterns of user queries. Extensive experiments on the Million Query Track data sets of the Text REtrieval Conference (TREC) demonstrate the effectiveness of our approach.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23578/full.
4Rowley, J. ; Johnson, F. ; Sbaffi, L.: Gender as an influencer of online health information-seeking and evaluation behavior.
In: Journal of the Association for Information Science and Technology. 67(2017) no.1, S.36-47.
Abstract: This article contributes to the growing body of research that explores the significance of context in health information behavior. Specifically, through the lens of trust judgments, it demonstrates that gender is a determinant of the information evaluation process. A questionnaire-based survey collected data from adults regarding the factors that influence their judgment of the trustworthiness of online health information. Both men and women identified credibility, recommendation, ease of use, and brand as being of importance in their trust judgments. However, women also take into account style, while men eschew this for familiarity. In addition, men appear to be more concerned with the comprehensiveness and accuracy of the information, the ease with which they can access it, and its familiarity, whereas women demonstrate greater interest in cognition, such as the ease with which they can read and understand the information. These gender differences are consistent with the demographic data, which suggest that: women consult more types of sources than men; men are more likely to be searching with respect to a long-standing health complaint; and, women are more likely than men to use tablets in their health information seeking. Recommendations for further research to better inform practice are offered.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23597/full.
5Pontis, S. ; Blandford, A. ; Greifeneder, E. ; Attalla, H. ; Neal, D.: Keeping up to date : an academic researcher's information journey.
In: Journal of the Association for Information Science and Technology. 67(2017) no.1, S.22-35.
Abstract: Keeping up to date with research developments is a central activity of academic researchers, but researchers face difficulties in managing the rapid growth of available scientific information. This study examined how researchers stay up to date, using the information journey model as a framework for analysis and investigating which dimensions influence information behaviors. We designed a 2-round study involving semistructured interviews and prototype testing with 61 researchers with 3 levels of seniority (PhD student to professor). Data were analyzed following a semistructured qualitative approach. Five key dimensions that influence information behaviors were identified: level of seniority, information sources, state of the project, level of familiarity, and how well defined the relevant community is. These dimensions are interrelated and their values determine the flow of the information journey. Across all levels of professional expertise, researchers used similar hard (formal) sources to access content, while soft (interpersonal) sources were used to filter information. An important "pain point" that future information tools should address is helping researchers filter information at the point of need.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23623/full.
Themenfeld: Suchtaktik ; Informationsdienstleistungen
6Liu, Z. ; Jansen, B.J.: ASK: A taxonomy of accuracy, social, and knowledge information seeking posts in social question and answering.
In: Journal of the Association for Information Science and Technology. 67(2017) no.2, S.333-347.
Abstract: Many people turn to their social networks to find information through the practice of question and answering. We believe it is necessary to use different answering strategies based on the type of questions to accommodate the different information needs. In this research, we propose the ASK taxonomy that categorizes questions posted on social networking sites into three types according to the nature of the questioner's inquiry of accuracy, social, or knowledge. To automatically decide which answering strategy to use, we develop a predictive model based on ASK question types using question features from the perspectives of lexical, topical, contextual, and syntactic as well as answer features. By applying the classifier on an annotated data set, we present a comprehensive analysis to compare questions in terms of their word usage, topical interests, temporal and spatial restrictions, syntactic structure, and response characteristics. Our research results show that the three types of questions exhibited different characteristics in the way they are asked. Our automatic classification algorithm achieves an 83% correct labeling result, showing the value of the ASK taxonomy for the design of social question and answering systems.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23655/full.
7Barrio, P. ; Gravano, L.: Sampling strategies for information extraction over the deep web.
In: Information processing and management. 53(2017) no.2, S.309-331.
Abstract: Information extraction systems discover structured information in natural language text. Having information in structured form enables much richer querying and data mining than possible over the natural language text. However, information extraction is a computationally expensive task, and hence improving the efficiency of the extraction process over large text collections is of critical interest. In this paper, we focus on an especially valuable family of text collections, namely, the so-called deep-web text collections, whose contents are not crawlable and are only available via querying. Important steps for efficient information extraction over deep-web text collections (e.g., selecting the collections on which to focus the extraction effort, based on their contents; or learning which documents within these collections-and in which order-to process, based on their words and phrases) require having a representative document sample from each collection. These document samples have to be collected by querying the deep-web text collections, an expensive process that renders impractical the existing sampling approaches developed for other data scenarios. In this paper, we systematically study the space of query-based document sampling techniques for information extraction over the deep web. Specifically, we consider (i) alternative query execution schedules, which vary on how they account for the query effectiveness, and (ii) alternative document retrieval and processing schedules, which vary on how they distribute the extraction effort over documents. We report the results of the first large-scale experimental evaluation of sampling techniques for information extraction over the deep web. Our results show the merits and limitations of the alternative query execution and document retrieval and processing strategies, and provide a roadmap for addressing this critically important building block for efficient, scalable information extraction.
Inhalt: Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316306318 [http://dx.doi.org/10.1016/j.ipm.2016.11.006].
Themenfeld: Internet ; Suchtaktik
8St. Jean, B.: Factors motivating, demotivating, or impeding information seeking and use by people with type 2 diabetes : a call to work toward preventing, identifying, and addressing incognizance.
In: Journal of the Association for Information Science and Technology. 67(2017) no.2, S.309-320.
Abstract: Type 2 diabetes has grown increasingly prevalent over recent decades, now affecting nearly 400 million people worldwide; however, nearly half of these individuals have no idea they have it. Consumer health information behavior (CHIB), which encompasses people's health-related information needs as well as the ways in which they interact (or do not interact) with health-related information, plays an important role in people's ability to prevent, cope with, and successfully manage a serious chronic disease across time. In this mixed-method longitudinal study, the CHIB of 34 people with type 2 diabetes is explored with the goal of identifying the factors that motivate, demotivate, or impede their diabetes-related information seeking and use. The findings reveal that while these processes can be motivated by many different factors and can lead to important benefits, there are significant barriers (such as "incognizance," defined herein as having an information need that one is not aware of) that may demotivate or impede their information seeking and use. The implications of these findings are discussed, focusing on how we might work toward preventing, identifying, and addressing incognizance among this population, ensuring they have the information they need when it can be of the most use to them.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23652/full.
9Walhout, J. ; Oomen, P. ; Jarodzka, H. ; Brand-Gruwel, S.: Effects of task complexity on online search behavior of adolescents.
In: Journal of the Association for Information Science and Technology. 67(2017) no.6, S.1449-1461.
Abstract: Evaluation of information during information problem-solving processes already starts when trying to select the appropriate search result on a search engine results page (SERP). Up to now, research has mainly focused on the evaluation of webpages, while the evaluation of SERPs received less attention. Furthermore, task complexity is often not taken into account. A within-subjects design was used to study the influence of task complexity on search query formulation, evaluation of search results, and task performance. Three search tasks were used: a fact-finding, cause-effect, and a controversial topic task. To measure perceptual search processes, we used a combination of log files, eye-tracking data, answer forms, and think-aloud protocols. The results reveal that an increase in task complexity results in more search queries and used keywords, more time to formulate search queries, and more considered search results on the SERPs. Furthermore, higher ranked search results were considered more often than lower ranked results. However, not all the results for the most complex task were in line with expectations. These conflicting results can be explained by a lack of prior knowledge and the possible interference of prior attitudes.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23782/full.
10Saastamoinen, M. ; Järvelin, K.: Search task features in work tasks of varying types and complexity.
In: Journal of the Association for Information Science and Technology. 67(2017) no.5, S.1111-1123.
Abstract: Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23766/full.
11Xie, I. ; Joo, S. ; Bennett-Kapusniak, R.: User involvement and system support in applying search tactics.
In: Journal of the Association for Information Science and Technology. 67(2017) no.5, S.1165-1185.
Abstract: Both user involvement and system support play important roles in applying search tactics. To apply search tactics in the information retrieval (IR) processes, users make decisions and take actions in the search process, while IR systems assist them by providing different system features. After analyzing 61 participants' information searching diaries and questionnaires we identified various types of user involvement and system support in applying different types of search tactics. Based on quantitative analysis, search tactics were classified into 3 groups: user-dominated, system-dominated, and balanced tactics. We further explored types of user involvement and types of system support in applying search tactics from the 3 groups. The findings show that users and systems play major roles in applying user-dominated and system-dominated tactics, respectively. When applying balanced tactics, users and systems must collaborate closely with each other. In this article, we propose a model that illustrates user involvement and system support as they occur in user-dominated tactics, system-dominated tactics, and balanced tactics. Most important, IR system design implications are discussed to facilitate effective and efficient applications of the 3 groups of search tactics.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23765/full.
12He, W. ; Tian, X.: ¬A longitudinal study of user queries and browsing requests in a case-based reasoning retrieval system.
In: Journal of the Association for Information Science and Technology. 67(2017) no.5, S.1124-1136.
Abstract: This article reports on a longitudinal analysis of query logs of a web-based case library system during an 8-year period (from 2005 to 2012). The analysis studies 3 different information-seeking approaches: keyword searching, browsing, and case-based reasoning (CBR) searching provided by the system by examining the query logs that stretch over 8 years. The longitudinal dimension of this study offers unique possibilities to see how users used the 3 different approaches over time. Various user information-seeking patterns and trends are identified through the query usage pattern analysis and session analysis. The study identified different user groups and found that a majority of the users tend to stick to their favorite information-seeking approach to meet their immediate information needs and do not seem to care whether alternative search options will offer greater benefits. The study also found that return users used CBR searching much more frequently than 1-time users and tend to use more query terms to look for information than 1-time users.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23738/full.
Themenfeld: Suchtaktik ; Case Based Reasoning
13Smith, C.L.: Domain-independent search expertise : gaining knowledge in query formulation through guided practice.
In: Journal of the Association for Information Science and Technology. 67(2017) no.6, S.1462-1479.
Abstract: Although modern search systems require minimal skill for meeting simple information needs, most systems provide weak support for gaining advanced skill; hence, the goal of designing systems that guide searchers in developing expertise. Essential to developing such systems are a description of expert search behavior and an understanding of how it may be acquired. The present study contributes a detailed analysis of the query behavior of 10 students as they completed assigned exercises during a semester-long course on expert search. Detailed query logs were coded for three dimensions of query expression: the information structure searched, the type of query term used, and intent of the query with respect to specificity. Patterns of query formulation were found to evidence a progression of instruction, suggesting that the students gained knowledge of fundamental system-independent constructs that underlie expert search, and that domain-independent search expertise may be defined as the ability to use these constructs. Implications for system design are addressed.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23776/full.
14Kim, J. ; Thomas, P. ; Sankaranarayana, R. ; Gedeon, T. ; Yoon, H.-J.: Eye-tracking analysis of user behavior and performance in web search on large and small screens.
In: Journal of the Association for Information Science and Technology. 66(2015) no.3, S.526-544.
Abstract: In recent years, searching the web on mobile devices has become enormously popular. Because mobile devices have relatively small screens and show fewer search results, search behavior with mobile devices may be different from that with desktops or laptops. Therefore, examining these differences may suggest better, more efficient designs for mobile search engines. In this experiment, we use eye tracking to explore user behavior and performance. We analyze web searches with 2 task types on 2 differently sized screens: one for a desktop and the other for a mobile device. In addition, we examine the relationships between search performance and several search behaviors to allow further investigation of the differences engendered by the screens. We found that users have more difficulty extracting information from search results pages on the smaller screens, although they exhibit less eye movement as a result of an infrequent use of the scroll function. However, in terms of search performance, our findings suggest that there is no significant difference between the 2 screens in time spent on search results pages and the accuracy of finding answers. This suggests several possible ideas for the presentation design of search results pages on small devices.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23187/abstract.
Themenfeld: Benutzerstudien ; Suchtaktik
15Niu, X. ; Hemminger, B.: Analyzing the interaction patterns in a faceted search interface.
In: Journal of the Association for Information Science and Technology. 66(2015) no.5, S.1030-1047.
Abstract: Since the adoption of faceted search in a small number of academic libraries in 2006, faceted search interfaces have gained popularity in academic and public libraries. This article clarifies whether faceted search improves the interactions between searchers and library catalogs and sheds light on ways that facets are used during a library search. To study searchers' behaviors in natural situations, we collected from the servers a data set with more than 1.5 million useful search logs. Logs were parsed, statistically analyzed, and manually studied using visualization tools to gain a general understanding of how facets are used in the search process. A user experiment with 24 subjects was conducted to further understand contextual information, such as the searchers' motivations and perceptions. The results indicate that most searchers were able to understand the concept of facets naturally and easily. The faceted search was not able to shorten the search time but was able to improve the search accuracy. Facets were used more for open-ended tasks and difficult tasks that require more effort to learn, investigate, and explore. Overall, the results weaved a detailed "story" about the ways that people use facets and the ways that facets help people use library catalogs.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23227/abstract.
Themenfeld: Suchtaktik ; Benutzerstudien
16González-Ibáñez, R. ; Shah, C. ; White, R.W.: Capturing 'Collabportunities' : a method to evaluate collaboration opportunities in information search using pseudocollaboration.
In: Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1897-1912.
Abstract: In explicit collaborative search, two or more individuals coordinate their efforts toward a shared goal. Every day, Internet users with similar information needs have the potential to collaborate. However, online search is typically performed in solitude. Existing search systems do not promote explicit collaborations, and collaboration opportunities (collabportunities) are missed. In this article, we describe a method to evaluate the feasibility of transforming these collabportunities into recommendations for explicit collaboration. We developed a technique called pseudocollaboration to evaluate the benefits and costs of collabportunities through simulations. We evaluate the performance of our method using three data sets: (a) data from single users' search sessions, (b) data with collaborative search sessions between pairs of searchers, and (c) logs from a large-scale search engine with search sessions of thousands of searchers. Our results establish when and how collabportunities would significantly help or hinder the search process versus searches conducted individually. The method that we describe has implications for the design and implementation of recommendation systems for explicit collaboration. It also connects system-mediated and user-mediated collaborative search, whereby the system evaluates the likely benefits of collaborating for a search task and helps searchers make more informed decisions on initiating and executing such a collaboration.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23288/abstract.
17Abacha, A.B. ; Zweigenbaum, P.: MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies.
In: Information processing and management. 51(2015) no.5, S.570-594.
Abstract: The Question Answering (QA) task aims to provide precise and quick answers to user questions from a collection of documents or a database. This kind of IR system is sorely needed with the dramatic growth of digital information. In this paper, we address the problem of QA in the medical domain where several specific conditions are met. We propose a semantic approach to QA based on (i) Natural Language Processing techniques, which allow a deep analysis of medical questions and documents and (ii) semantic Web technologies at both representation and interrogation levels. We present our Semantic Question-Answering System, called MEANS and our proposed method for "Answer Search" based on semantic search and query relaxation. We evaluate the overall system performance on real questions and answers extracted from MEDLINE articles. Our experiments show promising results and suggest that a query-relaxation strategy can further improve the overall performance.
Inhalt: Vgl.: doi: 10.1016/j.ipm.2015.04.006.
18Monchaux, S. ; Amadieu, F. ; Chevalier, A. ; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved.
In: Information processing and management. 51(2015) no.5, S.557-569.
Abstract: This study addresses the impact of domain expertise (i.e. of prior knowledge of the domain) on the performance and query strategies used by users while searching for information. Twenty-four experts (psychology students) and 24 non-experts (students from other disciplines) had to search for psychology information from the Universalis website in order to perform six information problems of varying complexity: two simple problems (the keywords required to complete the task were provided in the problem statement), two more difficult problems (the keywords required had to be inferred) and two impossible problems (no answer was provided by the website). The results showed that participants with prior knowledge in the domain (experts in psychology) performed better (i.e. reached more correct answers after shorter search times) than non-experts. This difference was stronger as the complexity of the problems increased. This study also showed that experts and non-experts displayed different query strategies. Experts reformulated the impossible problems more often than non-experts, because they produced new queries with psychology-related keywords. The participants rarely used thematic category tool and when they did so this did not enhance their performance.
Inhalt: Vgl.: doi: 10.1016/j.ipm.2015.05.004.
Themenfeld: Suchtaktik ; Benutzerstudien
19Aloteibi, S. ; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study.
In: Journal of the Association for Information Science and Technology. 65(2014) no.1, S.13-24.
Abstract: Search engine users typically engage in multiquery sessions in their quest to fulfill their information needs. Despite a plethora of research findings suggesting that a significant group of users look for information within a specific geographical scope, existing reformulation studies lack a focused analysis of how users reformulate geographic queries. This study comprehensively investigates the ways in which users reformulate such needs in an attempt to fill this gap in the literature. Reformulated sessions were sampled from a query log of a major search engine to extract 2,400 entries that were manually inspected to filter geo sessions. This filter identified 471 search sessions that included geographical intent, and these sessions were analyzed quantitatively and qualitatively. The results revealed that one in five of the users who reformulated their queries were looking for geographically related information. They reformulated their queries by changing the content of the query rather than the structure. Users were not following a unified sequence of modifications and instead performed a single reformulation action. However, in some cases it was possible to anticipate their next move. A number of tasks in geo modifications were identified, including standard, multi-needs, multi-places, and hybrid approaches. The research concludes that it is important to specialize query reformulation studies to focus on particular query types rather than generically analyzing them, as it is apparent that geographic queries have their special reformulation characteristics.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.22961/abstract.
Themenfeld: Suchtaktik ; Suchmaschinen ; Benutzerstudien
20Kajanan, S. ; Bao, Y. ; Datta, A. ; VanderMeer, D. ; Dutta, K.: Efficient automatic search query formulation using phrase-level analysis.
In: Journal of the Association for Information Science and Technology. 65(2014) no.5, S.1058-1075.
Abstract: Over the past decade, the volume of information available digitally over the Internet has grown enormously. Technical developments in the area of search, such as Google's Page Rank algorithm, have proved so good at serving relevant results that Internet search has become integrated into daily human activity. One can endlessly explore topics of interest simply by querying and reading through the resulting links. Yet, although search engines are well known for providing relevant results based on users' queries, users do not always receive the results they are looking for. Google's Director of Research describes clickstream evidence of frustrated users repeatedly reformulating queries and searching through page after page of results. Given the general quality of search engine results, one must consider the possibility that the frustrated user's query is not effective; that is, it does not describe the essence of the user's interest. Indeed, extensive research into human search behavior has found that humans are not very effective at formulating good search queries that describe what they are interested in. Ideally, the user should simply point to a portion of text that sparked the user's interest, and a system should automatically formulate a search query that captures the essence of the text. In this paper, we describe an implemented system that provides this capability. We first describe how our work differs from existing work in automatic query formulation, and propose a new method for improved quantification of the relevance of candidate search terms drawn from input text using phrase-level analysis. We then propose an implementable method designed to provide relevant queries based on a user's text input. We demonstrate the quality of our results and performance of our system through experimental studies. Our results demonstrate that our system produces relevant search terms with roughly two-thirds precision and recall compared to search terms selected by experts, and that typical users find significantly more relevant results (31% more relevant) more quickly (64% faster) using our system than self-formulated search queries. Further, we show that our implementation can scale to request loads of up to 10 requests per second within current online responsiveness expectations (<2-second response times at the highest loads tested).
Themenfeld: Automatisches Indexieren ; Computerlinguistik ; Suchtaktik