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Enhancing Expert Search Through Query Modeling [chapter]

Pavel Serdyukov, Sergey Chernov, Wolfgang Nejdl
Lecture Notes in Computer Science  
We show how expert language models can be used for advanced query modeling.  ...  Query modeling helps to improve traditional document retrieval, so we propose to apply it in a new setting. We adopt a general framework of language modeling for expert finding.  ...  So far we described the state-of-art approach, while Step 2 contains our enhancement for the expert search.  ... 
doi:10.1007/978-3-540-71496-5_81 dblp:conf/ecir/SerdyukovCN07 fatcat:hrghx7v5zzbjfnlu33asqwgzgy

Usefulness of click-through data in expert search

Craig Macdonald, Ryen W. White
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
The search result click-through behaviour of many intranet search engine users provides an additional source of evidence to identify topically-relevant documents, and via document authorship, experts.  ...  In this poster, we assess the usefulness of click-through log data for expert finding.  ...  This shows that the click-through log data can indeed enhance a content-based expert search engine.  ... 
doi:10.1145/1571941.1572143 dblp:conf/sigir/MacdonaldW09 fatcat:dzavxicvynavlbovtthtgua7k4

An Enhanced Concept based Approach for User Centered Health Information Retrieval to Address Presentation Issues

Ibrahim Umar Kontagora, Isredza Rahmi, Nurul Aswa
2019 International Journal of Advanced Computer Science and Applications  
We evaluated and compared the performance of the proposed enhanced concept based approach with the existing approaches namely: concept based approach (CBA), query likelihood model (QLM) and latent semantic  ...  Keywords-Enhanced concept based approach; existing concept based approach; medical discharge reports; medical expert form; layman's form  ...  reading through their medical search results [14, 17, 19] .  ... 
doi:10.14569/ijacsa.2019.0100131 fatcat:mh66swswf5gfvbhq4lj2fzpxpu

Query Expansion for Medical Domain to Augment the Web Search

2019 International Journal of Engineering and Advanced Technology  
A system has been developed to bridge the gap between expert users and the laypersons. We develop a system where by users query is enhanced by adding terms provided by experts.  ...  Understanding queries plays a huge role in helping users navigate through the abundant data and find the required information.  ...  The various candidates being C1 is Layman with Query Enhancement,C2 is Layman without Query Enhancement,C3 is Expert with Query Enhancement,C4 is Expert without Query Enhancement.  ... 
doi:10.35940/ijeat.a2958.109119 fatcat:4nfsvwsy6fbjtfcl7hptru6noa

An Enhanced Concept Based Approach for User Centered Health Information Retrieval to Address Medical and Vocabulary Mismatched Issues

Ibrahim Umar Kontagora
2020 International Journal of Advanced Trends in Computer Science and Engineering  
expert vocabulary during query expansion.  ...  vocabulary mismatched issues by ensuring that only the most specific terms in a layman's search query are searched for and their synonyms extracted from the dictionary of the selected dataset.  ...  THE PROPOSED ENHANCED CONCEPT BASED APPROACH We proposed an Enhanced Concept Based Approach that would address the vocabulary mismatched issues between laymen queries and expert vocabularies during query  ... 
doi:10.30534/ijatcse/2020/6091.12020 fatcat:bldlwqqgm5bz3mblxfii54pyny

On domain expertise-based roles in collaborative information retrieval

Laure Soulier, Lynda Tamine, Wahiba Bahsoun
2014 Information Processing & Management  
and expert roles.  ...  Therefore, we assume that an adapted retrieval setting towards this pair of users may allow to enhance the users' knowledge throughout the collaborative search session.  ...  Accordingly, we plan to enhance our model by: Giving the possibility for users to refine their information need throughout the search session.  ... 
doi:10.1016/j.ipm.2014.04.002 fatcat:owvzouzvkrhopmjdzoo2ufzioq

Personalised Web Search using Browsing History and Domain Knowledge

Mayur Bhosale
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Personalized web search is able to satisfy individual's information needs by modeling long-term and short-term user interests based on user past queries, actions and incorporate these in the search process  ...  Different users have different needs when they submit a query to a web search engine.  ...  Hilltop is designed to enhance results for popular queries; however, query terms for which experts were not found will not be handled by the Hilltop algorithm.  ... 
doi:10.17762/ijritcc2321-8169.1503155 fatcat:6xnatanv6jginiou2zgjdxnefm

Adaptive multiple feedback strategies for interactive video search

Huanbo Luan, Yantao Zheng, Shi-Yong Neo, Yongdong Zhang, Shouxun Lin, Tat-Seng Chua
2008 Proceedings of the 2008 international conference on Content-based image and video retrieval - CIVR '08  
queries and different video corpuses.  ...  to a more precise and personalized search for the novice users.  ...  To test the effectiveness of this enhanced model against the old model, the same users are asked to perform a final round of search.  ... 
doi:10.1145/1386352.1386411 dblp:conf/civr/LuanZNZLC08 fatcat:vs45pml57nc7lk2aufxpywcbyu

Introduction to the special issue on search as learning

Carsten Eickhoff, Jacek Gwizdka, Claudia Hauff, Jiyin He
2017 Information retrieval (Boston)  
The authors also devise a personalized information seeking assistant that fosters learning through user behavior modeling and query refinement, showing significantly improved learning effectiveness.  ...  White et al. (2009) show that, within their area of expertise, domain experts search differently from non-experts.  ... 
doi:10.1007/s10791-017-9315-9 fatcat:amltixgszfb7xgudh6m4y2tpyu

Focused Clinical Query Understanding and Retrieval of Medical Snippets powered through a Healthcare Knowledge Graph [article]

Maulik R. Kamdar, Michael Carroll, Will Dowling, Linda Wogulis, Cailey Fitzgerald, Matt Corkum, Danielle Walsh, David Conrad, Craig E. Stanley, Jr., Steve Ross, Dru Henke (+1 others)
2020 arXiv   pre-print
In this talk, we will be presenting our research behind the development of a Focused Clinical Search Service, powered by a Healthcare Knowledge Graph, to interpret the query intent behind clinical search  ...  queries and retrieve relevant medical snippets from a diverse corpus of medical literature.  ...  Results The biomedical word embedding-based model, which was previously evaluated by four experts, had a precision of 61.4% and recall of 86.3% for the task of tagging HG relations over a limited corpus  ... 
arXiv:2009.09086v1 fatcat:4wqsu7tdtrfw7fewsr2zqiunaa

Subjective Relevance: Implications on Interface Design for Information Retrieval Systems [chapter]

Shu-Shing Lee, Yin-Leng Theng, Dion Hoe-Lian Goh, Schubert Shou-Boon Foo
2005 Lecture Notes in Computer Science  
A pilot study was conducted to elicit features on SR from experts and novices.  ...  Information retrieval (IR) systems are traditionally developed using the objective relevance approach based on the "best match" principle assuming that users can specify their needs in queries and that  ...  Norman's [11] model describes seven activities that users go through while interacting with a system to complete tasks.  ... 
doi:10.1007/11599517_52 fatcat:hulqqrgbt5emlgmn5hhsc2yfky

A Collaborative Document Ranking Model for a Multi-faceted Search [chapter]

Laure Soulier, Lynda Tamine, Wahiba Bahsoun
2013 Lecture Notes in Computer Science  
For this purpose, we consider a group of users, viewed as experts, who collaborate by addressing the different query facets.  ...  The performance improvement is demonstrated through experiments using TREC interactive benchmark.  ...  These facets are modeled through document and user topical-based representations using the LDA generative model. Documents are allocated to experts using the Expectation-Maximization algorithm.  ... 
doi:10.1007/978-3-642-45068-6_10 fatcat:ehe2a4utwrclrkebqrtjyvzoni

An Integrated Approach to Research Paper and Expertise Recommendation in Academic Research

Charles N. Mabude, Iyabo O. Awoyelu, Bodunde O. Akinyemi, Ganiyu A. Aderounmu
2022 International Journal of Advanced Computer Science and Applications  
Research papers and expertise recommendation systems have been operating independently of one another, resulting in avoidable search queries and unsatisfactory recommendations.  ...  The Cosine similarity function between user query and available research papers as well as experts, was combined with selected criteria to achieve recommendation.  ...  This is carried out in the "Query/Expertise Matching" section by searching through the database of experts.  ... 
doi:10.14569/ijacsa.2022.0130456 fatcat:rp7fppsqvjfgvnrg5kvmh5jg5q

Mimicking Web search engines for expert search

Rodrygo L.T. Santos, Craig Macdonald, Iadh Ounis
2011 Information Processing & Management  
Moreover, when the mimicking of WSEs is further improved by training, expert search performance is also generally enhanced.  ...  Experimental results show that our approach is effective for expert search, and can significantly improve an intranet-based expert search engine.  ...  Given a WSE, we issue an evidence identification query through its API and obtain a list of search results.  ... 
doi:10.1016/j.ipm.2010.11.009 fatcat:6a5bjha2kzch7anwwlgtd56qym

Using Keyqueries to Reduce Misinformation in Health-Related Search Results

Maik Fröbe, Sebastian Günther, Alexander Bondarenko, Johannes Huck, Matthias Hagen
2022 European Conference on Information Retrieval  
In the scenario of health-related searches, we investigate whether explicit relevance feedback by experts can guide query expansion methods to formulate queries that return fewer misleading or wrong results  ...  expanded queries for which the feedback documents are ranked as high as possible.  ...  The first usage of relevance feedback through a relevance model [36] (referred to as RM1 [37] ) assigns weights to documents by their retrieval score for the original query and derives expansion term  ... 
dblp:conf/ecir/FrobeGBHH22 fatcat:gxt4zabryze5vlytzxgcaqaofi
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