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| Content Provider | ACM Digital Library |
|---|---|
| Author | Thomas, Paul Moffat, Alistair Scholer, Falk |
| Abstract | Web search tools are used on a daily basis by billions of people. The commercial providers of these services spend large amounts of money measuring their own effectiveness and benchmarking against their competitors; nothing less than their corporate survival is at stake. Techniques for offline or "batch" evaluation of search quality have received considerable attention, spanning ways of constructing relevance judgments; ways of using them to generate numeric scores; and ways of inferring system "superiority" from sets of such scores. Our purpose in this paper is consider these mechanisms as a chain of inter-dependent activities, in order to explore some of the ramifications of alternative components. By disaggregating the different activities, and asking what the ultimate objective of the measurement process is, we provide new insights into evaluation approaches, and are able to suggest new combinations that might prove fruitful avenues for exploration. Our observations are examined with reference to data collected from a user study covering 34 users undertaking a total of six search tasks each, using two systems of markedly different quality. We hope to encourage broader awareness of the many factors that go into an evaluation of search effectiveness, and of the implications of these choices, and encourage researchers to carefully report all aspects of the evaluation process when describing their system performance experiments. |
| Starting Page | 74 |
| Ending Page | 81 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450325240 |
| DOI | 10.1145/2537734.2537745 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-12-05 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Evaluation Effectiveness Relevance judgment Information retrieval |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
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| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
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| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
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