2012 UnderstandingUsersSatisfactionf

• (Sun, 2012) ⇒ Gordon Sun. (2012). “Understanding Users' Satisfaction for Search Engine Evaluation.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339748

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+Understanding+Users%27+Satisfaction+for+Search+Engine+Evaluation
• http://dl.acm.org/citation.cfm?id=2339530.2339748&preflayout=flat#citedby

Quotes

Author Keywords

• Data mining; search engine performance

Abstract

To fulfill users' search needs, the search engine must have good performance, easy-to-use functionalities, and good search result quality. Search quality evaluation becomes challenging when users' satisfaction may not be able to judge by a single search and even within a single search judgments from various sources are not consistent. In this talk, I will discuss how user's satisfaction is decomposed into different components in general, and how we measure them with various means - human judgment, automatic computation with query log, and outsourcing, and their pros and cons with operational implications. For an outlook, I will postulate potential evaluation approaches for a better user's satisfaction.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 UnderstandingUsersSatisfactionf	Gordon Sun			Understanding Users' Satisfaction for Search Engine Evaluation				10.1145/2339530.2339748		2012