Classifying the user intent of web queries using k ‐means clustering
Bibliographic Data
| ID | 12420663 |
|---|---|
| Authors | Ashish Kathuria (Pennsylvania State University, corresponding author), Bernard J Jansen (0000-0002-6468-6609, Pennsylvania State University), Carolyn Hafernik (Pennsylvania State University), Amanda Spink (Queensland University of Technology) |
| Year | 2010 |
| Volume | 20 |
| Issue | 5 |
| Pages | 563-581 |
| Publication date | 2010-10-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Internet Research (JOURNAL) |
| Journal identifiers | ISSN: 1066-2243 • E-ISSN: 2054-5657 |
| Publisher | Emerald Publishing Limited (PUBLISHER • GB) |
| DOI | 10.1108/10662241011084112 |
| OpenAlex | W2049138784 |
| Language | EN |
| Citations received | 4 |
| References cited | 17 |
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, some people may be looking for specific web sites or may wish to conduct transactions with web services. This paper aims to focus on automatically classifying the different user intents behind web queries
Cluster analysis · Focus (optics · Information retrieval · The Internet · Web analytics · Web development · Web intelligence · Web mining · Web navigation · Web page · Web search engine · World Wide Web · Computer Science · Data Quality and Management · Information Retrieval and Search Behavior · Web Data Mining and Analysis
| Citations per year | 0.4 |
|---|---|
| Citation span | 2016 - 2026 (11) |
| Highly cited | No |