1992
DOI: 10.1145/138859.138866
|View full text |Cite
|
Sign up to set email alerts
|

Personalized information delivery

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
146
0
2

Year Published

1996
1996
2004
2004

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 371 publications
(148 citation statements)
references
References 13 publications
0
146
0
2
Order By: Relevance
“…are grouped into sets containing similar items (Jain et al, 1999). In stylometry we have a supervised classification problem, since we are provided with a set of pre-classified objects and try to categorize a newly encountered object into these existing sets as in the case of information filtering (Foltz and Dumais, 1992).…”
Section: Introductionmentioning
confidence: 99%
“…are grouped into sets containing similar items (Jain et al, 1999). In stylometry we have a supervised classification problem, since we are provided with a set of pre-classified objects and try to categorize a newly encountered object into these existing sets as in the case of information filtering (Foltz and Dumais, 1992).…”
Section: Introductionmentioning
confidence: 99%
“…Techniques being applied in automated recommendation systems have their roots in information filtering and related fields such as information retrieval and categorization [FoDu92;BeCr92]. Hence, recommender systems are usually distinguished into those using content-based filtering (see section 3.1) and those using collaborative filtering (see section 3.2).…”
Section: An Overview On Automated Recommendationmentioning
confidence: 99%
“…An important assumption of the cosine similarity function is that words are considered orthogonal or independent from each other [FoDu92,p. 53].…”
Section: Content-based Filteringmentioning
confidence: 99%
“…This builds on existing work on personalised delivery of information (Foltz and Dumais 1992), which leads to using agents to deal with the information overload problem (Maes 1994). The software agent paradigm in this context provides a framework that eases the consideration of user interests and context in the process of information filtering and retrieval (Rhodes and Maes 2000;Lieberman et al, 2001).…”
Section: Related Workmentioning
confidence: 99%