1. WebKDD – Future Directions

2. Research directions Forum directions

3. Future Research Directions Integrating data from multiple sources Capturing semantic user actions Role of s/w agents in e- tailing Sophisticated personalization, using analytical methods Marginal value of clickstream data Mining from warehouses vs. flat files Preserving privacy in data mining CRM – acquisition, retention, attrition reduction Automatic detection/building of user communities

4. Future Research Directions Recommender systems for mobile devices (m- commerce) Data preparation for mining Public repository to compare data mining methods Evaluating the true ROI of recommender systems Using web sites for live user experiments Impact of web mining on privacy Path analysis Combining multiple mining techniques Conveying results/impact of mining to managers

5. Future Research Directions Inferring psychological variables affecting e- behavior from clickstream analysis Impact of content & price (and changes in them) on buyer behavior

6. Web Mining – Some Facts Tremendous interest in WebKDD2000 Easy to form top notch program committee Very high quality submissions 88 attendees + 26 on waiting list Lots of work in research & practice Growing number of publications SIGKDD Explorations, Vol. 1.2, Vol. 2.1 KDD SIGMOD, ICDE, VLDB Various journals

7. WebKDD Future Continue at a workshop level or expand? Possible themes for next year? Any other ideas?

8. Announcements Final versions of WebKDD1999 papers now available as a book from Springer Verlag – please visit Springer booth Authors of WebKDD2000 invited to submit an enhanced version of their paper for consideration for a special issue of the KDD journal on Web Mining - instructions will be posted on the WebKDD2000 web page Special issue of Informs journal – flyers near the door SIAM data mining conference at Chicago in April, 2001 will have two relevant mini-workshops Data mining for e-commerce Web mining – flyers near the door