Mixed language queries in online searches

2019 ◽  
Vol 71 (1) ◽  
pp. 72-89 ◽  
Author(s):  
Hengyi Fu
Keyword(s):  
Information Retrieval ◽  
Information Needs ◽  
Code Switching ◽  
Structured Interviews ◽  
Theoretical Understanding ◽  
Content Type ◽  
Cross Language Information Retrieval ◽  
Mixed Language ◽  
Online Searches ◽  
Cross Language

Purpose With the increasing number of online multilingual resources, cross-language information retrieval (CLIR) has drawn much attention from the information retrieval (IR) research community. However, few studies have examined how and why multilingual searchers seek information in two or more languages, specifically how they switch and mix language in queries to get satisfying results. The purpose of this paper is to focus on Chinese–English bilinguals’ intra-sentential code-switching behaviors in online searches. The scenarios and reasons of code-switching, factors that may affect code-switching, the patterns of mixed language query formulation and reformulation and how current IR systems and other search tools can facilitate such information needs were examined. Design/methodology/approach In-depth semi-structured interviews were used as the research method. In total, 30 participants were recruited based on their English proficiency, location and profession, using a purposive sampling method. Findings Four scenarios and four reasons for using Chinese–English mixed language queries to cover information needs were identified, and results suggest that linguistic and cultural/social factors are of equivalent importance in code-switching behaviors. English terms and Chinese terms in queries play different roles in searches, and mixed language queries are irreplaceable by either single language queries or other search facilitating features. Findings also suggest current search engines and tools need greater emphasis in the user interface and more user education is required. Originality/value This study presents a qualitative analysis of bilinguals’ code-switching behaviors in online searches. Findings are expected to advance the theoretical understanding of bilingual users’ search strategies and interactions with IR systems, and provide insights for designing more effective IR systems and tools to discover multilingual online resources, including cross-language controlled vocabularies, personalized CLIR tools and mixed language query assistants.

A study of user profile representation for personalized cross-language information retrieval

2016 ◽  
Vol 68 (4) ◽  
pp. 448-477 ◽  
Author(s):  
Dong Zhou ◽  
Séamus Lawless ◽  
Xuan Wu ◽  
Wenyu Zhao ◽  
Jianxun Liu
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
User Profile ◽  
User Profiles ◽  
Content Type ◽  
Cross Language Information Retrieval ◽  
Cross Lingual ◽  
Cross Language ◽  
Representation Techniques ◽  
Comprehensive Study

Purpose – With an increase in the amount of multilingual content on the World Wide Web, users are often striving to access information provided in a language of which they are non-native speakers. The purpose of this paper is to present a comprehensive study of user profile representation techniques and investigate their use in personalized cross-language information retrieval (CLIR) systems through the means of personalized query expansion. Design/methodology/approach – The user profiles consist of weighted terms computed by using frequency-based methods such as tf-idf and BM25, as well as various latent semantic models trained on monolingual documents and cross-lingual comparable documents. This paper also proposes an automatic evaluation method for comparing various user profile generation techniques and query expansion methods. Findings – Experimental results suggest that latent semantic-weighted user profile representation techniques are superior to frequency-based methods, and are particularly suitable for users with a sufficient amount of historical data. The study also confirmed that user profiles represented by latent semantic models trained on a cross-lingual level gained better performance than the models trained on a monolingual level. Originality/value – Previous studies on personalized information retrieval systems have primarily investigated user profiles and personalization strategies on a monolingual level. The effect of utilizing such monolingual profiles for personalized CLIR remains unclear. The current study fills the gap by a comprehensive study of user profile representation for personalized CLIR and a novel personalized CLIR evaluation methodology to ensure repeatable and controlled experiments can be conducted.

scholarly journals Business to business digital content marketing: marketers’ perceptions of best practice

2014 ◽  
Vol 8 (4) ◽  
pp. 269-293 ◽  
Author(s):  
Geraint Holliman ◽  
Jennifer Rowley
Keyword(s):  
Information Needs ◽  
Good Practice ◽  
Digital Content ◽  
Structured Interviews ◽  
Theoretical Understanding ◽  
Content Type ◽  
Inbound Marketing ◽  
Business To Business ◽  
Content Marketing

Purpose – This paper aims to draw attention to the emerging phenomenon of business to business (B2B) digital content marketing, offers a range of insights and reflections on good practice and contributes to theoretical understanding of the role of digital content in marketing. B2B digital content marketing is an inbound marketing technique and hence offers a solution to the declining effectiveness of traditional interruptive marketing techniques. Design/methodology/approach – Semi-structured interviews were conducted with 15 key informants involved in B2B content marketing in the USA, UK and France, in five industry sectors. Findings – B2B digital content marketing is an inbound marketing technique, effected through web page, social media and value-add content, and is perceived to be a useful tool for achieving and sustaining trusted brand status. Creating content that is valuable to B2B audiences requires brands to take a “publishing” approach, which involves developing an understanding of the audience’s information needs, and their purchase consideration cycle. Valuable content is described as being useful, relevant, compelling and timely. Content marketing requires a cultural change from “selling” to “helping”, which in turn requires different marketing objectives, tactics, metrics and skills to those associated with more traditional marketing approaches. The article concludes with a theoretical discussion on the role of digital content in marketing, thereby contextualising the findings from this study within a broader exploration of the role of digital content in marketing and relational exchanges. Originality/value – As the first research study to explore the use of digital content marketing in B2B contexts, this research positions digital content marketing with regard to prior theory, and provides both an agenda for further research, and suggestions for practice.

Cognitive and Psychological Factors in Cross-Language Information Retrieval

2018 ◽  
pp. 4490-4501
Author(s):  
Rowena Li
Keyword(s):  
Information Retrieval ◽  
Psychological Factors ◽  
Information Needs ◽  
Social Aspects ◽  
Cognitive Structures ◽  
Cultural Contexts ◽  
Relevance Judgment ◽  
Cross Language Information Retrieval ◽  
Cross Language ◽  
Cognitive Dimensions

While a lot of research has focused on the effectiveness of system functionality, few studies have examined information needs and social aspects related to cross-language information retrieval. This article aims to speculate the human and social aspects of cross-language information retrieval. It explores CLIR users' unique social and cultural contexts, their psychological and cognitive structures, and their distinctive relevance judgment. It examines in depth the barriers embedded in cultural, linguistic, and cognitive dimensions, which might hinder further advancement in cross-language information retrieval.

Cognitive and Psychological Factors in Cross-Language Information Retrieval

2019 ◽  
pp. 249-262
Author(s):  
Rowena Li
Keyword(s):  
Information Retrieval ◽  
Psychological Factors ◽  
Information Needs ◽  
Social Aspects ◽  
Cognitive Structures ◽  
Cultural Contexts ◽  
Relevance Judgment ◽  
Cross Language Information Retrieval ◽  
Cross Language ◽  
Cognitive Dimensions

While a lot of research has focused on the effectiveness of system functionality, few studies have examined information needs and social aspects related to cross-language information retrieval. This chapter aims to speculate the human and social aspects of cross-language information retrieval. It explores CLIR users' unique social and cultural contexts, their psychological and cognitive structures, and their distinctive relevance judgment. It examines in depth the barriers embedded in cultural, linguistic, and cognitive dimensions, which might hinder further advancement in cross-language information retrieval.

scholarly journals User-driven efforts in creating knowledge graph information system

2020 ◽  
Vol 36 (2) ◽  
pp. 97-111
Author(s):  
Stanislava Gardasevic
Keyword(s):  
Information System ◽  
Information Seeking ◽  
Information Needs ◽  
Resource Discovery ◽  
The Body ◽  
Knowledge Graph ◽  
Structured Interviews ◽  
Community Members ◽  
Study Objective ◽  
Content Type

Purpose This paper presents the results of a qualitative study that involved students of an interdisciplinary PhD program. The study objective was to gather requirements to create a knowledge graph information system. The purpose of this study was to determine information-seeking practices and information needs of this community, to inform the functionalities of a proposed system, intended to help students with relevant resource discovery and decision-making. Design/methodology/approach The study design included semi-structured interviews with eight members of the community, followed by a website usability study with the same student participants. Findings Two main information-seeking styles are recognized and reported through user personas of international and domestic (USA) students. The findings show that the useful information resides within the community and not so much on the program website. Students rely on peer communication, although they report lack of opportunities to connect. Students’ information needs and information seeking are dependent on their progress through the program, as well as their motivation and the projected timeline. Practical implications Considering the current information needs and practices, a knowledge graph hosting both information on social networks and the knowledge produced by the activities of the community members would be useful. By recording data on their activities (for example, collaboration with professors and coursework), students would reveal further useful system functionalities and facilitate transfer of tacit knowledge. Originality/value Aside from the practical value of this research that is directly influencing the design of a system, it contributes to the body of knowledge on interdisciplinary PhD programs.

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