Automatic new topic identification in search engine transaction logs

2006 ◽  
Vol 16 (3) ◽  
pp. 323-338 ◽  
Author(s):  
H. Cenk Ozmutlu ◽  
Fatih Cavdur ◽  
Seda Ozmutlu
Keyword(s):  
Search Engine ◽  
Topic Identification

Topic Analysis and Identification of Queries

2011 ◽  
pp. 345-358 ◽  
Author(s):  
Seda Ozmutlu ◽  
Huseyin C. Ozmutlu ◽  
Amanda Spink
Keyword(s):  
Information Retrieval ◽  
Literature Review ◽  
Real Time ◽  
Search Engine ◽  
Analytical Methods ◽  
Simple Task ◽  
Topic Analysis ◽  
Topic Identification ◽  
Time Requirements ◽  
User Queries

This chapter emphasizes topic analysis and identification of search engine user queries. Topic analysis and identification of queries is an important task related to the discipline of information retrieval which is a key element for the development of successful personalized search engines. Topic identification of text is also no simple task, and a problem yet unsolved. The problem is even harder for search engine user queries due to real-time requirements and the limited number of terms in the user queries. The chapter includes a detailed literature review on topic analysis and identification, with an emphasis on search engine user queries, a survey of the analytical methods that have been and can be used, and the challenges and research opportunities related to topic analysis and identification.

Who owns a personal home page?

2003 ◽  
Vol 62 (2) ◽  
pp. 121-129 ◽  
Author(s):  
Astrid Schütz ◽  
Franz Machilek
Keyword(s):  
Search Engine ◽  
Home Page ◽  
Sampling Strategies ◽  
Home Pages ◽  
Personal Home Pages ◽  
Age And Sex

Research on personal home pages is still rare. Many studies to date are exploratory, and the problem of drawing a sample that reflects the variety of existing home pages has not yet been solved. The present paper discusses sampling strategies and suggests a strategy based on the results retrieved by a search engine. This approach is used to draw a sample of 229 personal home pages that portray private identities. Findings on age and sex of the owners and elements characterizing the sites are reported.

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