J
James E. Pitkow
Researcher at Xerox
Publications - 75
Citations - 10735
James E. Pitkow is an academic researcher from Xerox. The author has contributed to research in topics: Cluster analysis & Web page. The author has an hindex of 46, co-authored 75 publications receiving 10682 citations. Previous affiliations of James E. Pitkow include Google & Georgia Institute of Technology.
Papers
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Journal ArticleDOI
Characterizing browsing strategies in the World-Wide Web
Lara D. Catledge,James E. Pitkow +1 more
TL;DR: A study conducted at Georgia Institute of Technology that captured client-side user events of NCSA's XMosaic supplemented the understanding of user navigation strategies as well as provided real interface usage data.
Journal ArticleDOI
Strong Regularities in World Wide Web Surfing
TL;DR: A model that assumes that users make a sequence of decisions to proceed to another page, continuing as long as the value of the current page exceeds some threshold, yields the probability distribution for the number of pages that a user visits within a given Web site.
Patent
System and method for searching and recommending objects from a categorically organized information repository
James E. Pitkow,Hinrich Schuetze +1 more
TL;DR: In this paper, a search and recommendation system employs the preferences and profiles of individual users and groups within a community of users, as well as information derived from categorically organized content pointers, to augment Internet searches, re-rank search results and provide recommendations for objects based on an initial subject-matter query.
Proceedings ArticleDOI
Silk from a sow's ear: extracting usable structures from the Web
TL;DR: This paper presents the exploration into techniques that utilize both the topology and textual similarity between items as well as usage data collected by servers and page meta-information lke title and size.
Proceedings ArticleDOI
Using information scent to model user information needs and actions and the Web
TL;DR: Two computational methods for understanding the relationship between user needs and user actions are described, which use a concept called “information scent”, which is the subjective sense of value and cost of accessing a page based on perceptual cues.