178 research outputs found
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach
A significant amount of search queries originate from some real world
information need or tasks. In order to improve the search experience of the end
users, it is important to have accurate representations of tasks. As a result,
significant amount of research has been devoted to extracting proper
representations of tasks in order to enable search systems to help users
complete their tasks, as well as providing the end user with better query
suggestions, for better recommendations, for satisfaction prediction, and for
improved personalization in terms of tasks. Most existing task extraction
methodologies focus on representing tasks as flat structures. However, tasks
often tend to have multiple subtasks associated with them and a more
naturalistic representation of tasks would be in terms of a hierarchy, where
each task can be composed of multiple (sub)tasks. To this end, we propose an
efficient Bayesian nonparametric model for extracting hierarchies of such tasks
\& subtasks. We evaluate our method based on real world query log data both
through quantitative and crowdsourced experiments and highlight the importance
of considering task/subtask hierarchies.Comment: 10 pages. Accepted at SIGIR 2017 as a full pape
The Usefulness of Different Accounting Earnings Measures: The Case of Egypt
The objective of this paper is to investigate whichmeasure of accounting income (comprehensive income,operating income, or net income) is more useful to equityinvestors in explaining future earnings, future cash flows, andstock returns. This study proposes that different measures ofincome are more useful for different uses. The research isundertaken within the Egyptian environment that allowsconsiderable asset revaluations and holds the reporting ofextraordinary items. Therefore, such environment provides arich ground for testing the expected effects of reportingcomprehensive income and its components on the Egyptianinvestors. The results do not support the superiority ofcomprehensive income measures in explaining the followingperiod’s net income compared to net income. None of the fourtested measures of earnings is able to explain the followingperiod’s cash flows. Operating income is superior to the otherthree measures of income in explaining stock return
Carbon Nanoparticles-Decorated Carbon Nanotubes
© 2020, The Author(s). Multi walled carbon nanotubes (MWCNTs) were decorated by activated carbon nanoparticles of resorcinol-formaldehyde aerogels. Carbon nanospheres and MWCNTs were mixed by equal mass ratios for different durations. The products were characterized by Raman spectroscopy, thermal gravimetric analysis, nanoscanning electron microscopy, transmission electron microscopy and x-ray diffraction. The results indicated that a significant decoration with carbon nanoparticles occurred onto the MWCNTs.This publication was made possible by the NPRP award (NPRP 08-014-2-003) from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors. Technical support from the Department of Chemical Engineering, the Central Laboratories Unit (CLU) and Gas Processing Centre (GPC) at Qatar University is also acknowledged. The publication of this article was funded by the Qatar National Library
Macro and Micro Earnings Manipulation: The Role of Accounting Standard Setting Process
Preparers of financial statements are in aposition to influence the view of economic reality presented inthose statements to interested parties. The term 'macromanipulation'is used to describe the lobbying of preparersagainst regulators (accounting standards setters) to persuadethem to produce regulation that is more favorable to theinterests of preparers. The aime of this paper is to introduce asuggested tool that could be used to ascertain why somefinancial accounting standards turn out to the benefit of one ofthe stakeholders involved in the process of accountingstandards setting. This paper utilizes the construct of power toreveal the influences from parties involved in the process ofaccounting standards setting. The comprehensive incomereporting standard is used in this paper as an example of thesetypes of standard that may involve 'macro-manipulation'
Generating Query Suggestions to Support Task-Based Search
We address the problem of generating query suggestions to support users in
completing their underlying tasks (which motivated them to search in the first
place). Given an initial query, these query suggestions should provide a
coverage of possible subtasks the user might be looking for. We propose a
probabilistic modeling framework that obtains keyphrases from multiple sources
and generates query suggestions from these keyphrases. Using the test suites of
the TREC Tasks track, we evaluate and analyze each component of our model.Comment: Proceedings of the 40th International ACM SIGIR Conference on
Research and Development in Information Retrieval (SIGIR '17), 201
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