Name
Abstract | ||
|---|---|---|
The authors review a log of billions of Web queries that constituted the total query traffic for a 6-month period of a general-purpose commercial Web search service. Previously, query logs were studied from a single, cumulative view. In contrast, this study builds on the authors' previous work, which showed changes in popularity and uniqueness of topically categorized queries across the hours in a day. To further their analysis, they examine query traffic on a daily, weekly, and monthly basis by matching it against lists of queries that have been topically precategorized by human editors. These lists represent 13% of the query traffic. They show that query traffic from particular topical categories differs both from the query stream as a whole and from other categories. Additionally, they show that certain categories of queries trend differently over varying periods. The authors key contribution is twofold: They outline a method for studying both the static and topical properties of a very large query log over varying periods, and they identify and examine topical trends that may provide valuable insight for improving both retrieval effectiveness and efficiency. © 2007 Wiley Periodicals, Inc. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1002/asi.v58:2 | JASIST |
Field | DocType | Volume |
Categorization,Data mining,Web search query,Information retrieval,Computer science,Popularity,Web query classification,Spatial query | Journal | 58 |
Issue | ISSN | Citations |
2 | 1532-2882 | 56 |
PageRank | References | Authors |
1.67 | 24 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steven M. Beitzel | 1 | 696 | 46.72 |
| Eric C. Jensen | 2 | 696 | 46.72 |
| Abdur Chowdhury | 3 | 2013 | 160.59 |
| Ophir Frieder | 4 | 3300 | 419.55 |
| david a grossman | 5 | 399 | 46.60 |