## Abstract The analysis of contextual information in search engine query logs is an important, yet difficult task. Users submit few queries, and search multiple topics sometimes with closely related context. Identification of topic changes within a search session is an important branch of contextu
✦ LIBER ✦
Application of automatic topic identification on Excite Web search engine data logs
✍ Scribed by H. Cenk Ozmutlu; Fatih Çavdur
- Book ID
- 113663447
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 375 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0306-4573
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We propose a new model to interpret the clickthrough logs of a web search engine. This model is based on explicit assumptions on the user behavior. In particular, we draw conclusions on a document relevance by observing the user behavior after he examined the document and not based on whether a user