scholarly journals A review on the Detection of Missing Content Queries in FAQ Retrieval Systems

2017 ◽  
Vol 16 (2) ◽  
pp. 6203-6206
Author(s):  
Edwin Thuma ◽  
Moemedi Lefoane ◽  
Gontlafetse Mosweunyane

When developing an automated FAQ retrieval system, the information supplier constructs question candidates in advance using their own knowledge. Then they answer these question candidates to create question-answer pairs to use in the FAQ retrieval system. However, these question-answer pairs will not always satisfy the users’ information needs. When there is no relevant question–answer pair to a users’ query, such a user may submit various query reformulations browsing over the long results list and may abandon the search before their information need has been satisfied. Such users many never return to use the system again because of the inability of the system to return relevant question-answer pairs to their query. In order to alleviate this, modern automated FAQ retrieval systems use a Missing Content Query (MCQ) detection subsystem to detect those queries that do not have the relevant question–answer pair. In this article we conduct a review of the different approaches proposed in the literature for detecting these MCQs. In particular, we provide a comprehensive review of the different systems that deployed the binary classification approach, the thresholding approach and the hybrid approach in the detection of MCQs. Moreover, we describe the strength and weaknesses of each approach.

Author(s):  
Gouranga Charan Jena ◽  
Siddharth Swarup Rautaray

<p><span>Stemmer is used for reducing inflectional or derived word to its stem. This technique involves removing the suffix or prefix affixed in a word. It can be used for information retrieval system to refine the overall execution of the retrieval process. This process is not equivalent to morphological analysis. This process only finds the stem of a word. This technique decreases the number of terms in information retrieval system. There are various techniques exists for stemming. In this paper, a new web-based stemmer has been proposed named as “Mula” for Odia Language. It uses the Hybrid approach (i.e. combination of brute force and suffix removal approach) for Odia language. The new born stemmer is both computationally faster and domain independent. The results are favourable and indicate that the proposed stemmer can be used effectively in Odia Information Retrieval systems. This stemmer also handles the problem of over-stemming and under-stemming in some extend.</span></p>


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 60-60
Author(s):  
Michelle Kimzey ◽  
Ramona Baucham ◽  
Chelsea Martin ◽  
Carol Howe

Abstract There are unique challenges and considerations when receiving the diagnosis of dementia. There are interventions, services, and supports for people with dementia and their care partners, yet they are often unknown, disconnected, and may not be widely available or easily accessible. Health literacy was defined as the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions. Using a descriptive qualitative design, the purpose of this study was to describe how persons living with dementia and their care partners obtain, understand, and use information to make health decisions to live well with dementia. The convenience sample consisted of 28 care partners and 15 people living with dementia participating in 6 separate focus groups. To illuminate findings, data was analyzed using a hybrid approach (deductive followed by inductive). Four themes emerged deductively as persons gain health literacy in dementia (access, understand, appraise, and understand). The notable finding is the trend at diagnosis where they first are “seeking the expert” ,and as they move from dependence and gain understanding they are “becoming the expert”, and finally as they apply information they are “acting as the expert” for themselves and others. Engaging them in research not only gave them a voice but more importantly it influenced the health information that will be developed and implemented by them. These findings suggest there is a wealth of knowledge to be gained by persons living with dementia and their care partners.


2009 ◽  
Vol 08 (01) ◽  
pp. 53-66
Author(s):  
Yun-jie (Calvin) Xu ◽  
Kai Huang (Joseph) Tan

User studies in information science have recognised relevance as a multidimensional construct. An implication of multidimensional relevance is that a user's information need should be modeled by multiple data structures to represent different relevance dimensions. While the extant literature has attempted to model multiple dimensions of a user's information need, the fundamental assumption that a multidimensional model is better than a uni-dimensional model has not been addressed. This study seeks to test this assumption. Our results indicate that a retrieval system that models both topicality and the novelty dimension of a users' information need outperforms a system with a uni-dimensional model.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Farnoush Bayatmakou ◽  
Azadeh Mohebi ◽  
Abbas Ahmadi

Purpose Query-based summarization approaches might not be able to provide summaries compatible with the user’s information need, as they mostly rely on a limited source of information, usually represented as a single query by the user. This issue becomes even more challenging when dealing with scientific documents, as they contain more specific subject-related terms, while the user may not be able to express his/her specific information need in a query with limited terms. This study aims to propose an interactive multi-document text summarization approach that generates an eligible summary that is more compatible with the user’s information need. This approach allows the user to interactively specify the composition of a multi-document summary. Design/methodology/approach This approach exploits the user’s opinion in two stages. The initial query is refined by user-selected keywords/keyphrases and complete sentences extracted from the set of retrieved documents. It is followed by a novel method for sentence expansion using the genetic algorithm, and ranking the final set of sentences using the maximal marginal relevance method. Basically, for implementation, the Web of Science data set in the artificial intelligence (AI) category is considered. Findings The proposed approach receives feedback from the user in terms of favorable keywords and sentences. The feedback eventually improves the summary as the end. To assess the performance of the proposed system, this paper has asked 45 users who were graduate students in the field of AI to fill out a questionnaire. The quality of the final summary has been also evaluated from the user’s perspective and information redundancy. It has been investigated that the proposed approach leads to higher degrees of user satisfaction compared to the ones with no or only one step of the interaction. Originality/value The interactive summarization approach goes beyond the initial user’s query, while it includes the user’s preferred keywords/keyphrases and sentences through a systematic interaction. With respect to these interactions, the system gives the user a more clear idea of the information he/she is looking for and consequently adjusting the final result to the ultimate information need. Such interaction allows the summarization system to achieve a comprehensive understanding of the user’s information needs while expanding context-based knowledge and guiding the user toward his/her information journey.


Author(s):  
Qiaozhu Mei ◽  
Dragomir Radev

This chapter is a basic introduction to text information retrieval. Information Retrieval (IR) refers to the activities of obtaining information resources (usually in the form of textual documents) from a much larger collection, which are relevant to an information need of the user (usually expressed as a query). Practical instances of an IR system include digital libraries and Web search engines. This chapter presents the typical architecture of an IR system, an overview of the methods corresponding to the design and the implementation of each major component of an information retrieval system, a discussion of evaluation methods for an IR system, and finally a summary of recent developments and research trends in the field of information retrieval.


Author(s):  
Loveleen Kaur ◽  
Sukhjeet Kaur ◽  
Preeti Sharma

Information is a source of power and is important for individual growth and survival. Information about health and hygiene is crucial because it influences an individual’s quality of life. As far as health and hygiene practices are concerned, women play an active role in getting information about these; hence there is a need to study their information needs regarding health and hygiene. After finding out the needs of women regarding these aspects, accordingly information can be made accessible to them. Keeping this into account, the present study was conducted in Ludhiana district of Punjab. Data was taken from 200 rural and urban women of 25-50 years, by the help of an interview schedule. Health and hygiene practices were studied under three categories as personal, food related and household health and hygiene practices. Information needs were studied on a three point continuum i.e. highly needed, somewhat needed and not needed. Results of the study showed that under personal health and hygiene practice, information on hair care and obesity was most needed. The most needed information regarding food related health and hygiene was on low cost nutritious recipes. The major information need reported by the respondents was related to control of insects and pests in case of household health and hygiene practices and majority of the respondents had low level of information need for all health and hygiene practices. Information needs of the women were positively related with their education and mass media exposure, whereas age was negatively correlated with the information needs of women. Consequently, there is a need to educate women regarding health and hygiene practices through effective communication methods, so that they can realize the importance and need for information on these topics.


1997 ◽  
pp. 13-26 ◽  
Author(s):  
David Johnson ◽  
Myke Gluck

This article looks at the access to geographic information through a review of information science theory and its application to the WWW. The two most common retrieval systems are information and data retrieval. A retrieval system has seven elements: retrieval models, indexing, match and retrieval, relevance, order, query languages and query specification. The goal of information retrieval is to match the user's needs to the information that is in the system. Retrieval of geographic information is a combination of both information and data retrieval. Aids to effective retrieval of geographic information are: query languages that employ icons and natural language, automatic indexing of geographic information, and standardization of geographic information. One area that has seen an explosion of geographic information retrieval systems (GIR's) is the World Wide Web (WWW). The final section of this article discusses how seven WWW GIR's solve the the problem of matching the user's information needs to the information in the system.


2022 ◽  
Vol 6 (1) ◽  
Author(s):  
Ahmad Fahri Ramadhan ◽  
Muhammad Ramdhani ◽  
Wahyu Utamidewi

Sex education is still a topic that is considered taboo in Indonesia, through Tiktok which is a popular application in the world in 2020, it is used as a medium to meet this information need by the @tabu.id account. The purpose of this study was to determine the effect of intensity, media content and attractiveness of using social media on the TikTok @tabu.id account on the fulfillment of sex education information needs. This study uses a quantitative approach with an explanatory survey. The theory used is the Uses Effect Theory. The data collection technique used is a questionnaire or questionnaire and literature study. While the data analysis technique will be collected using a Likert scale. The results of this study are the intensity, message content and attractiveness affect the need for information about sex education. While the magnitude of the influence of sex education information is 6.75%, the magnitude of the influence of infographic messages on sex education information is 33.26% and the magnitude of the influence of sex education information is 15.02%.


2021 ◽  
Author(s):  
Jakob Marolt ◽  
Nenad Kosanić ◽  
Tone Lerher

Abstract This paper studies multiple-deep automated vehicle storage and retrieval systems (AVS/RS) known for their high throughput performance and flexibility. Compared to a single-deep system, multiple-deep AVS/RS has a better space area utilisation. However, a relocation cycle occurs, reducing the throughput performance whenever another stock-keeping unit (SKU) blocks a retrieving SKU. The SKU retrieval sequence is undetermined, meaning that the arrangement is unknown, and all SKUs have an equal probability of retrieval. In addition to the shuttle carrier, a satellite vehicle is attached to the shuttle carrier and is used to access storage locations in multiple depths. A discrete event simulation of multiple-deep AVS/RS with a tier captive shuttle carrier was developed. We focused on the dual command cycle time assessment of nine different storage and relocation assignment strategies combinations in the simulation model. The results of a simulation study for (i) Random, (ii) Depth-first and (iii) Nearest neighbour storage and relocation assignment strategies combinations are examined and benchmarked for five different AVS/RS case study configurations with the same number of storage locations. The results display that the fivefold and sixfold deep AVS/RS outperform systems with fewer depths by utilising Depth-first storage and Nearest neighbour relocation assignment strategies.


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