scholarly journals Automatic search engine performance evaluation with click-through data analysis

2007 ◽  
Author(s):  
Yiqun Liu ◽  
Yupeng Fu ◽  
Min Zhang ◽  
Shaoping Ma ◽  
Liyun Ru
Keyword(s):  
Performance Evaluation ◽  
Data Analysis ◽  
Search Engine ◽  
Engine Performance ◽  
Automatic Search

Automatic Search Engine Performance Evaluation Based on User Behavior Analysis

2009 ◽  
Vol 19 (11) ◽  
pp. 3023-3032 ◽  
Author(s):  
Yi-Qun LIU ◽  
Rong-Wei CEN ◽  
Min ZHANG ◽  
Li-Yun RU ◽  
Shao-Ping MA
Keyword(s):  
Performance Evaluation ◽  
Behavior Analysis ◽  
Search Engine ◽  
User Behavior ◽  
Engine Performance ◽  
User Behavior Analysis ◽  
Automatic Search

Aero Engine Performance Evaluation During Missile Firing Test

2017 ◽  
Author(s):  
Sajath Kumar Manoharan ◽  
Kasram Santhosh ◽  
Mahesh P. Padwale ◽  
G. P. Ravishankar
Keyword(s):  
Performance Evaluation ◽  
Engine Performance ◽  
Flight Testing ◽  
Flow Disturbance ◽  
Fighter Aircraft ◽  
Firing Test ◽  
Aero Engine ◽  
Temperature Ramps ◽  
Air Intake ◽  
Model Engine

Evaluation of engine performance during armament firing in fighter aircraft is a vital qualification aspect for airframe engine integration. Ingestion of missile’s efflux into air intake results in rapid increase of engine inlet temperatures (temperature ramps) which cause flow disturbance to the compressor. Temperature distortion caused due to armament firing and its effect on compressor stability during flight testing is evaluated. Accordingly mitigation actions are recommended for stall/surge free operations. Distortion descriptors are assessed using simulation model (engine performance program) and results compared with engine distortion limits.

Putting Students “In Whitman’s Hand”

2018 ◽  
pp. 153-166
Author(s):  
Catherine Waitinas
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
General Education ◽  
Search Engine ◽  
New Technologies ◽  
Walt Whitman ◽  
Big Data Analysis ◽  
Manuscript Project ◽  
Graduate Seminars

Catherine Waitinas leads readers step-by-step through a digital manuscript project on Walt Whitman’s poetry that she created for a variety of courses from general education to graduate seminars. Using handwritten manuscripts digitized in the Walt Whitman Archive, Waitinas’s students meld old and new technologies, placing penmanship in conversation with big data analysis and The Walt Whitman’s Archive’s tools like the archive’s search engine. Waitinas describes how archival assignments like these are infinitely scalable; they can be used in relation to many other archives, and Waitinas gives suggestions for one-day to full-unit versions of the assignment.

Hotels Pricing at Travel Search Engines

2011 ◽  
Vol 1 (4) ◽  
pp. 64-74
Author(s):  
Anastasios A. Economides ◽  
Antonia Kontaratou
Keyword(s):  
Data Analysis ◽  
Web 2.0 ◽  
Search Engine ◽  
Search Engines ◽  
Information Sources ◽  
Descriptive Statistics ◽  
Tourism Destinations ◽  
Price Analysis

Web 2.0 applications have been increasingly recognized as important information sources for consumers, including the domain of tourism. In the center of the travelers’ interest is the use of these applications in order to compare and choose hotels for their accommodation at various tourism destinations. It is important to investigate the issues related to the presence of the hotels on some of the most dominant tourism search engines and to the prices that they present. This paper compares the search engines and determines whether the cheapest and to the most complete one can be discovered. This paper focuses on analyzing the hotel prices presented on their official websites and on the following eight tourism search engines: Booking.com, Expedia.com, Hotelclub.com, Hotels.com, Orbitz.com, Priceline.com, Travelocity.com, and Venere.com. The data analysis, by the use of the descriptive statistics, showed that only 23% of the hotels examined are found at all the search engines. Furthermore, the price analysis showed that there are differences among the search engines. Although some search engines statistically give lower prices, there is not a single search engine that always gives the lowest price for every hotel.

Search Engine Performance Comparisons

2011 ◽  
pp. 148-164
Author(s):  
Xiannong Meng ◽  
Song Xing
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Engine Performance ◽  
Process Time ◽  
Average Process ◽  
Search Results ◽  
Time Average ◽  
Evaluation Techniques ◽  
Average User

This chapter reports the results of a project attempting to assess the performance of a few major search engines from various perspectives. The search engines involved in the study include the Microsoft Search Engine (MSE) when it was in its beta test stage, AllTheWeb, and Yahoo. In a few comparisons, other search engines such as Google, Vivisimo are also included. The study collects statistics such as the average user response time, average process time for a query reported by MSE, as well as the number of pages relevant to a query reported by all search engines involved. The project also studies the quality of search results generated by MSE and other search engines using RankPower as the metric. We found MSE performs well in speed and diversity of the query results, while weaker in other statistics, compared to some other leading search engines. The contribution of this chapter is to review the performance evaluation techniques for search engines and use different measures to assess and compare the quality of different search engines, especially MSE.

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