enterprise search
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2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marianne Lykke ◽  
Ann Bygholm ◽  
Louise Bak Søndergaard ◽  
Katriina Byström

PurposeThe purpose of the study is to examine enterprise searching practices across different work areas and work tasks in an enterprise search system in an international biotechnology company.Design/methodology/approachA mixed-method approach studying employees' authentic search activities during a 4-month period by log data, questionnaire survey and interviews. The log data analysed the entire active searcher group, whereas the questionnaire and interviews focused on frequent searchers.FindingsThe three studies provided insight into the searching activities and an understanding of the way searchers used the enterprise search system to search for information as part of their work tasks. The data identified three searcher groups, each with specific search characteristics. Four work task types were identified, and for all four types the searchers applied a tracing searching technique with use of contextual and historical relationships as paths.Practical implicationsThe findings point to the importance of knowledge on historical and contextual relations in enterprise search.Originality/valueThe work sheds new light on enterprise searchers' information search practices. A significant contribution is the identification of a tracing search method used in relation to four essential work task types. Another contribution is the importance of historical and contextual knowledge to support the tracing search and decide what paths to follow.


Author(s):  
Y.O. Ignatiuk

The article examines the legal nature of leasing in Ukraine. The issues of scientific analysis of the essence and mechanism of civil renewal of legal transformed regulation of the economics of leasing research legal relations in traditional Ukraine are considered. In the capital of modern economic instability in the means of Ukraine’s economy, the urgency of regulation acquires the issue of developed effective responsibilities and rational legal use of existing resources, investment, procurement, enterprise, search for effective funds, methods of accelerated legal development destroyed equipment is the case of the development of a developed lease relationship, the state in particular the financial entrepreneur. Investment leases help countries entrepreneurs who cope with the most economically important task due in the financial business - leasing constant financial renewal risks means synonymous with production and production maintaining them develops at a developed proper due level dynamically mastering develops.It is the loan due to the investment leased post-war mastery of Germany and equipment developed by Japan turned accelerated from the need for economically sound destroyed Germany states into a legal country with a mechanism of strong which and funds developed loan economy leasing. In the financing of countries with major developed economies to prove the task of one of the main lending types of investment investment regulation is used leasing.For Ukraine, this type of activity is relatively new, but is actively developing. Therefore, there is a need to bring Ukrainian legislation governing leasing relations in line with international standards and to define their clear legal criteria.It is also worth noting that the increase in investment activity in Ukraine will be largely determined by the presence of conditions attractive for the development of new forms of investment financing, including leasing. Therefore, providing the legal framework for the regulation of leasing relations is an extremely important task of the legislator.


2021 ◽  
pp. 016555152198953
Author(s):  
Paul H Cleverley ◽  
Fionnuala Cousins ◽  
Simon Burnett

COVID-19 has created unprecedented organisational challenges, yet no study has examined the impact on information search. A case study in a knowledge-intensive organisation was undertaken on 2.5 million search queries during the pandemic. A surge of unique users and COVID-19 search queries in March 2020 may equate to ‘peak uncertainty and activity’, demonstrating the importance of corporate search engines in times of crisis. Search volumes dropped 24% after lockdowns; an ‘L-shaped’ recovery may be a surrogate for business activity. COVID-19 search queries transitioned from awareness, to impact, strategy, response and ways of working that may influence future search design. Low click through rates imply some information needs were not met and searches on mental health increased. In extreme situations (i.e. a pandemic), companies may need to move faster, monitoring and exploiting their enterprise search logs in real time as these reflect uncertainty and anxiety that may exist in the enterprise.


For any web application running on RDBMS databases as the backend, it might be a huge performance impact if a search needs to be performed on a table with millions of rows or if a query needs to be executed which joins multiple tables. In general, such kind of backend services make the website extremely slow. Document based reverse indexing can be a useful solution in these cases. SOLR is a standalone enterprise search server with a REST-like API. It has major features which include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, NoSQL features and rich document (e.g., Word, PDF and more) parsing, geospatial search, Security built in. Databases and SOLR have complementary strengths and weaknesses. SQL supports very simple wildcard-based text search with some simple normalization like matching upper case to lowercase. The problem is that these are full table scans. In SOLR all searchable words are stored in an "inverse index based", which searches orders of magnitude faster. However, designing this framework is quite challenging. This paper discusses the techniques that are highly reliable, scalable and fault tolerant which can help in setting up the distributed indexing, replication and load-balanced querying with a centralized configuration.


2020 ◽  
Vol 2 (3) ◽  
pp. p19
Author(s):  
Yinchun Xu ◽  
Anyiran Zhang

With the development of Internet media, the information asymmetry between listed companies and individual investors has been greatly improved. However, the impact of information on the stock market is relatively complex, and that is different on disparate industries. This paper takes the stock data of science and technology enterprise BOE as a sample. Firstly, use text mining to measure media information and investor attention, and then construct multivariate regression model by adjusting the non-linear and heteroscedasticity to analyze correlation between media information, investor attention and stock price changes as well as stock liquidity. Also, breakpoint regression model is made. Finally, the influence mode is obtained, and combined with the actual situation, the relevant suggestions are put forward.


2020 ◽  
pp. 302-321
Author(s):  
Giacomo Cabri ◽  
Riccardo Martoglia

This article describes how in addition to general purposes search engines, specialized search engines have appeared and have gained their part of the market. An enterprise search engine enables the search inside the enterprise information, mainly web pages but also other kinds of documents; the search is performed by people inside the enterprise or by customers. This article proposes an enterprise search engine called AMBIT1-SE that relies on two enhancements: first, it is user-aware in the sense that it takes into consideration the profile of the users that perform the query; second, it exploits semantic techniques to consider not only exact matches but also synonyms and related terms. It performs two main activities: (1) information processing to analyse the documents and build the user profile and (2) search and retrieval to search for information that matches user's query and profile. An experimental evaluation of the proposed approach is performed on different real websites, showing its benefits over other well-established approaches.


Author(s):  
Alexey Pismak ◽  
Serge Klimenkov ◽  
Eugeny Tsopa ◽  
Alexandr Yarkeev ◽  
Vladimir Nikolaev ◽  
...  
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