NDLI: On the quality of semantic interest profiles for onine social network consumers

Please wait, while we are loading the content...

On the quality of semantic interest profiles for onine social network consumers

Content Provider	ACM Digital Library
Author	Schlötterer, Jörg Besel, Christoph Granitzer, Michael
Abstract	Social media based recommendation systems infer user' interests and preferences from their social network activity in order to provide personalised recommendations. Typically, the user profiles are generated by analysing the users' posts or tweets. However, there might be a significant difference between what a user produces and what she consumes. We propose an approach for inferring user interests from followees (the accounts the user follows) rather than tweets. This is done by extracting named entities from a user's followees using the English Wikipedia as knowledge base and regarding them as interests. Afterwards, a spreading activation algorithm is performed on a Wikipedia category taxonomy to aggregate the various interests to a more abstract and broader interest profile. We evaluate the coverage of followee lists in terms of named entities and show that they provide sufficient input to infer comprehensive semantic interest profiles. Further, we compare the profiles created with the followee-based approach against tweet-based profiles. With over 7 out of 10 items being relevant to the users in our evaluation, we show that the followee-based approach can compete with the state of the art and performs even better in predicting the user's interests than their human friends do.
Starting Page	5
Ending Page	14
Page Count	10
File Format	PDF
ISSN	15596915 19310161
DOI	10.1145/3015297.3015298
Journal	ACM SIGAPP Applied Computing Review (SIAP)
Volume Number	16
Issue Number	3
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-06-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Personalization Twitter user profile
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Inferring semantic interest profiles from Twitter followees: does Twitter know better than your friends?

Hierarchical interest graph from tweets

Personalized filtering of the twitter stream (2011)

Semantic User Interaction Profiles for Better People Recommendation

Semantics-Enabled User Interest Detection from Twitter

Twitter-based user modeling for news recommendations (2013).

Multilayered Ontology-Based User Profiles and Semantic Social Networks for Recommender Systems (2006)

Semantic Enrichment of Twitter Posts for User Profile Construction on the Social Web (2011)

Ontological user profiles for personalized web search (2007)

On the quality of semantic interest profiles for onine social network consumers

Similar Documents

Inferring semantic interest profiles from Twitter followees: does Twitter know better than your friends?

Hierarchical interest graph from tweets

Personalized filtering of the twitter stream (2011)

Semantic User Interaction Profiles for Better People Recommendation

Semantics-Enabled User Interest Detection from Twitter

Twitter-based user modeling for news recommendations (2013).

Multilayered Ontology-Based User Profiles and Semantic Social Networks for Recommender Systems (2006)

Semantic Enrichment of Twitter Posts for User Profile Construction on the Social Web (2011)

Ontological user profiles for personalized web search (2007)

On the quality of semantic interest profiles for onine social network consumers