Handling skewed results in news recommendations by focused analysis of semantic user profiles

Author

Agarwal, Sankalp ; Singhal, Achintya

Author_Institution

Univ. of Delhi, New Delhi, India

fYear

2014

fDate

6-8 Feb. 2014

Firstpage

74

Lastpage

79

Abstract

To provide personalized services of digital product NEWS, complete understanding of user profile is very essential and crucial. It is observed that user interest in online news reading is very dynamic so we are making two profiles of each user: one for short term (dynamic) interests and one for long term (static) interests. We have designed an online news portal which prioritizes the preferred news topics based on the focused and deep analysis of registered user´s profiles, made semantically based on our designed domain ontology.

Keywords

portals; recommender systems; domain ontology; long term interests; news recommendations; online news portal; online news reading; semantic user profiles; short term interests; skewed results; Buildings; Education; Entertainment industry; Google; Information filtering; Ontologies; Time-frequency analysis; Focussed Analysis; IPTC; Ontology; Personalization; RSS news feeds; User profile;

fLanguage

English

Publisher

ieee

Conference_Titel

Optimization, Reliabilty, and Information Technology (ICROIT), 2014 International Conference on

Conference_Location

Faridabad

Print_ISBN

978-1-4799-3958-9

Type

conf

DOI

10.1109/ICROIT.2014.6798295

Filename

6798295