From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach

One key challenge in talent search is to translate complex criteria of a hiring position into a search query, while it is relatively easy for a searcher to list examples of suitable candidates for a given position. To improve search efficiency, we propose the next generation of talent search at LinkedIn, also referred to as Search By Ideal Candidates. In this system, a searcher provides one or several ideal candidates as the input to hire for a given position. The system then generates a query based on the ideal candidates and uses it to retrieve and rank results. Shifting from the traditional Query-By-Keyword to this new Query-By-Example system poses a number of challenges: How to generate a query that best describes the candidates? When moving to a completely different paradigm, how does one leverage previous product logs to learn ranking models and/or evaluate the new system with no existing usage logs? Finally, given the different nature between the two search paradigms, the ranking features typically used for Query-By-Keyword systems might not be optimal for Query-By-Example. This paper describes our approach to solving these challenges. We present experimental results confirming the effectiveness of the proposed solution, particularly on query building and search ranking tasks. As of writing this paper, the new system has been available to all LinkedIn members

Breast Schwannoma

Schwannomas arise from Schwann cells of the peripheral nerve sheath. The most common locations include the head, neck, and extensor surfaces of the extremities. Intramammary schwannomas are very rare and account for only 2.6% of schwannomas. A review of the English literature reveals 27 such cases of breast schwannoma. In this paper we describe another such rare case

Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of regions-of-interest using directional diffusion-weighted images.

BACKGROUND: There is an increasing interest in non-contrast-enhanced magnetic resonance imaging (MRI) for detecting and evaluating breast lesions. We present a methodology utilizing lesion core and periphery region of interest (ROI) features derived from directional diffusion-weighted imaging (DWI) data to evaluate performance in discriminating benign from malignant lesions in dense breasts. METHODS: We accrued 55 dense-breast cases with 69 lesions (31 benign; 38 cancer) at a single institution in a prospective study; cases with ROIs exceeding 7.50 cm RESULTS: The region-growing algorithm for 3D lesion model generation improved inter-observer variability over hand drawn ROIs (DSC: 0.66 vs 0.56 (p \u3c 0.001) with substantial agreement (DSC \u3e 0.8) in 46% vs 13% of cases, respectively (p \u3c 0.001)). The overall classifier improved discrimination over mean ADC, (ROC- area under the curve (AUC): 0.85 vs 0.75 and 0.83 vs 0.74 respectively for the two readers). CONCLUSIONS: A classifier generated from directional DWI information using lesion core and lesion periphery information separately can improve lesion discrimination in dense breasts over mean ADC and should be considered for inclusion in computer-aided diagnosis algorithms. Our model-based ROIs could facilitate standardization of breast MRI computer-aided diagnostics (CADx)

A Semantic Search Algorithm for Peer-to-Peer Open Hypermedia Systems

We consider a collaborative application scenario in Open Hypermedia Systems. We describe a semantic search algorithm to discover semantically equivalent or related resources across distributed link databases, otherwise known as linkbases. Our approach differs from traditional crawler based search mechanisms because it relies on clustering of semantically related entities. It creates clusters of related semantic entities to expedite the search for resources in a random network. It uses a distance-vector based heuristic to guide the search. Our results confirm that the algorithm yields high search efficiency in collaborative environments where the change in content published by each participant is rapid and random

Supporting Ad Hoc Resource Sharing on the Web: A Peer-to-Peer Approach to Hypermedia Link Services

The key element to support ad hoc resource sharing on the Web is to discover resources of interest. The hypermedia paradigm provides a way of overlaying a set of resources with additional information in the form of links to help people find other resources. However, existing hypermedia approaches primarily develop mechanisms to enable resource sharing in a fairly static, centralized way. Recent developments in distributed computing, on the other hand, introduced peer-to-peer (P2P) computing that is notable for employing distributed resources to perform a critical function in a more dynamic and ad hoc scenario. We investigate the feasibility and potential benefits of bringing together the P2P paradigm with the concept of hypermedia link services to implement ad hoc resource sharing on the Web. This is accomplished by utilizing a web-based Distributed Dynamic Link Service (DDLS) as a test bed and addressing the issues arising from the design, implementation and enhancement of the service. Our experimental result reveals the behavior and performance of the semantics-based resource discovery in DDLS, and demonstrates that the proposed enhancing technique for DDLS, topology re-organization, is appropriate and efficient

Adaptive resource management in large scale distributed systems

An emergent trend in large scale distributed systems enables collaboration between large numbers of independent resource providers. Grid computing and peer-to-peer computing are part of this trend. Resource management in such systems is inherently different from that found in traditional distributed systems, the key difference being that the new classes of systems are primarily designed to operate under inconsistent system information and temporally varying operating environments. Although primarily used to enable collaboration of computational resources, these systems have also found application in the field of distributed data management. Although the principles of grid computing and peer-to-peer computing have found many applications, little effort has been made to abstract the common requirements, in order to provide a conceptual resource framework. This thesis investigates the alleviation of such common requirements through investigations in the field of online scheduling, information dissemination in peer-to-peer networks, and query processing in distributed stream processing systems. A survey of system types is provided to highlight the new trends observed. A top down approach to developing a unifying model seems inapplicable and the range of problems encountered in these system types can only be addressed by identifying common trends and addressing them individually. Consequently, three application domains have been identified in the respective fields of online scheduling, data dissemination and stream query processing. Each of these application class is investigated individually. For each application domain, a review of the state-of-the-art is followed by a precise definition of the problem addressed in the application domain and the solutions developed are substantiated with experimental evaluation. Findings from individual applications have been summarized to generalize the observations towards an overall hypothesis.</p

Adaptive resource management in large scale distributed systems

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Highly Efficient Dual-Side Wireless Power Transfer:: Implementation of Synchronization and Wireless Communication

This thesis presents a practical topology for achieving highly efficient dual-side wireless power transfer (WPT). Traditional WPT systems with a diode rectifier on the secondary side lack flexibility in load matching, requiring the integration of an additional dc/dc converter at the back end. However, this approach leads to increased power losses and costs. In contrast, this thesis proposes the use of an active rectifier comprising MOSFETs, replacing the diode rectifier. By employing a dual active bridge topology with dual-side control, optimal load tracking is achieved by tuning one side and communicating the desired duty cycle or phase angle to the other side. To address practical challenges, two key aspects are considered. Firstly, synchronization is established between the generated current on thesecondary side and the new active rectifier, enabling efficient load tracking and the potential for zero voltage switching (ZVS). This is accomplished using a printed circuit board (PCB) equipped with zero current crossing detection (ZCCD), validated with an 85kHz test signal. The PCB triggers the PWM output of the secondary side microcontroller with a latency of less than &lt; 50ns, utilizing the trip-zone digital compare sub-block integrated into the TMS320F28379D. Secondly, seamless wireless communication between the primary and secondary sides is essential. While the secondary side can measurethe current and voltage across the load to adjust its duty cycle for optimal conditions, the primary side lacks this information. Therefore, the secondary side transmits the new duty cycle to the primary side toensure consistent power flow. The nRF24L01+ wifi module is utilized as a dual-purpose transmitter and receiver for achieving wireless communication. Validation of this wireless communication is performedby remotely controlling an external LED, connected to the receiver side, from a distance of approximately 5m.accurately to the transmitted values. Additionally, a mathematical modeling approach is used to optimize power delivery and mitigate high-frequency noise by incorporating two parallel MLCC capacitors on a custom PCB near the nRF24L01+ module.Electrical Engineering | Electrical Power Engineerin