Webwatcher: A learning apprentice for the world wide web (1995) [281 citations — 6 self]
Abstract:
We describe an information seeking assistant for the world wide web. This agent, called WebWatcher, interactively helps users locate desired information by employing learned knowledge about which hyperlinks are likely to lead to the target information. Our primary focus to date has been on two issues: (1) organizing WebWatcher to provide interactive advice to Mosaic users while logging their successful and unsuccessful searches as training data, and (2) incorporating machine learning methods to automatically acquire knowledge for selecting an appropriate hyperlink given the current web page viewed by the user and the user's information goal. We describe the initial design of WebWatcher, and the results of our preliminary learning experiments. 1
Citations
| 2217 | J.: Introduction to Modern Information Retrieval – Salton, Macgill - 1983 |
| 511 | Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm – Littlestone - 1988 |
| 282 | NewsWeeder: learning to filter netnews – Lang - 1995 |
| 177 | Experience with a learning personal assistant – Mitchell, Caruana, et al. - 1994 |
| 72 | A learning apprentice for VLSI design – Mitchell, Mahadevan, et al. - 1985 |
| 31 | News Weeder: Learning to filter netnews – Lang - 1995 |

