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Results 1 - 10
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3,511
Rijke. Finding similar experts
- In SIGIR
, 2007
"... The task of finding people who are experts on a topic has recently received increased attention. We introduce a different expert finding task for which a small number of example experts is given (instead of a natural language query), and the system’s task is to return similar experts. We define, com ..."
Abstract
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Cited by 13 (5 self)
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The task of finding people who are experts on a topic has recently received increased attention. We introduce a different expert finding task for which a small number of example experts is given (instead of a natural language query), and the system’s task is to return similar experts. We define
Contextual Factors for Finding Similar Experts
, 2010
"... Expertise-seeking research studies how people search for expertise and choose whom to contact in the context of a specific task. An important outcome are models that identify factors that influence expert finding. Expertise retrieval addresses the same problem, expert finding, but from a system-cent ..."
Abstract
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Cited by 8 (1 self)
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-centered perspective. The main focus has been on developing content-based algorithms similar to document search. These algorithms identify matching experts primarily on the basis of the textual content of documents with which experts are associated. Other factors, such as the ones identified by expertise
Fastmap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets
, 1995
"... A very promising idea for fast searching in traditional and multimedia databases is to map objects into points in k-d space, using k feature-extraction functions, provided by a domain expert [Jag91]. Thus, we can subsequently use highly fine-tuned spatial access methods (SAMs), to answer several ..."
Abstract
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Cited by 502 (22 self)
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easier for a domain expert to assess the similarity/distance of two objects. Given only the distance information though, it is not obvious how to map objects into points. This is exactly the topic of this paper. We describe a fast algorithm to map objects into points in some k-dimensional space (k
Integrating Contextual Factors into Topic-centric Retrieval Models for Finding Similar Experts
"... Expert finding has been addressed from multiple viewpoints, including expertise seeking and expert retrieval. The focus of expertise seeking has mostly been on descriptive or predictive models, for example to identify what factors affect human decisions on locating and selecting experts. In expert r ..."
Abstract
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Cited by 2 (2 self)
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retrieval the focus has been on algorithms similar to document search, which identify topical matches based on the content of documents associated with experts. We report on a pilot study on an expert finding task in which we explore how contextual factors identified by expertise seeking models can
Finding bugs is easy
- ACM SIGPLAN Notices
, 2004
"... Many techniques have been developed over the years to automatically find bugs in software. Often, these techniques rely on formal methods and sophisticated program analysis. While these techniques are valuable, they can be difficult to apply, and they aren’t always effective in finding real bugs. Bu ..."
Abstract
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Cited by 351 (8 self)
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written by experts contains a surprising number of obvious bugs. Second, Java (and similar languages) have many language features and APIs which are prone to misuse. Finally, that simple automatic techniques can be effective at countering the impact of both ordinary mistakes and misunderstood language
Keyword searching and browsing in databases using BANKS
- In ICDE
, 2002
"... With the growth of the Web, there has been a rapid increase in the number of users who need to access online databases without having a detailed knowledge of the schema or of query languages; even relatively simple query languages designed for non-experts are too complicated for them. We describe BA ..."
Abstract
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Cited by 321 (14 self)
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With the growth of the Web, there has been a rapid increase in the number of users who need to access online databases without having a detailed knowledge of the schema or of query languages; even relatively simple query languages designed for non-experts are too complicated for them. We describe
Cheap and Fast — But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
"... Human linguistic annotation is crucial for many natural language processing tasks but can be expensive and time-consuming. We explore the use of Amazon’s Mechanical Turk system, a significantly cheaper and faster method for collecting annotations from a broad base of paid non-expert contributors ove ..."
Abstract
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Cited by 247 (4 self)
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over the Web. We investigate five tasks: affect recognition, word similarity, recognizing textual entailment, event temporal ordering, and word sense disambiguation. For all five, we show high agreement between Mechanical Turk non-expert annotations and existing gold standard labels provided by expert
Impact of similarity measures on web-page clustering,”
- in Workshop on Artificial Intelligence for Web Search (AAAI
, 2000
"... Abstract Clustering of web documents enables (semi-)automated categorization, and facilitates certain types of search. Any clustering method has to embed the documents in a suitable similarity space. While several clustering methods and the associated similarity measures have been proposed in the p ..."
Abstract
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Cited by 205 (26 self)
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in the past, there is no systematic comparative study of the impact of similarity metrics on cluster quality, possibly because the popular cost criteria do not readily translate across qualitatively different metrics. We observe that in domains such as YA-HOO that provide a categorization by human experts, a
SPIRAL: Code Generation for DSP Transforms
- PROCEEDINGS OF THE IEEE SPECIAL ISSUE ON PROGRAM GENERATION, OPTIMIZATION, AND ADAPTATION
"... Fast changing, increasingly complex, and diverse computing platforms pose central problems in scientific computing: How to achieve, with reasonable effort, portable optimal performance? We present SPIRAL that considers this problem for the performance-critical domain of linear digital signal proces ..."
Abstract
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Cited by 222 (41 self)
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-driven optimizer. Similar to a human expert, for a specified transform, SPIRAL “intelligently ” generates and explores algorithmic and implementation choices to find the best match to the computer’s microarchitecture. The “intelligence” is provided by search and learning techniques that exploit the structure
Results 1 - 10
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3,511
