Donkers, Tim; Loepp, Benedikt; Ziegler, Jürgen:
Merging Latent Factors and Tags to Increase Interactive Control of Recommendations
In: Poster Proceedings of ACM RecSys 2015 / Castells, Pablo (Hrsg.). - 9th ACM Conference on Recommender Systems (RecSys 2015), 16 September 2015, Vienna, Austria - Aachen: RWTH Aachen, 2015 - (CEUR Workshop Proceedings ; 1441)
2015Buchaufsatz/Kapitel in TagungsbandOA Gold
InformatikFakultät für Ingenieurwissenschaften » Informatik und Angewandte Kognitionswissenschaft » Informatik » Interaktive Systeme / Interaktionsdesign
Titel in Englisch:
Merging Latent Factors and Tags to Increase Interactive Control of Recommendations
Autor*in:
Donkers, TimUDE
GND
1318565251
LSF ID
59377
ORCID
0000-0002-9230-1243ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
;
Loepp, BenediktUDE
GND
1232038113
LSF ID
54109
ORCID
0000-0001-9059-5324ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
;
Ziegler, JürgenUDE
GND
1015876811
LSF ID
3881
ORCID
0000-0001-9603-5272ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
Open Access?:
OA Gold
Scopus ID
Notiz:
OA platinum
Sprache des Textes:
Englisch
Ressourcentyp:
Text

Abstract in Englisch:

We describe a novel approach that integrates user-generated tags with standard Matrix Factorization to allow users to interactively control recommendations. The tag information is incorporated during the learning phase and relates to the automatically derived latent factors. Thus, the system can change an item's score whenever the user adjusts a tag's weight. We implemented a prototype and performed a user study showing that this seems to be a promising way for users to interactively manipulate the set of items recommended based on their user profile or in cold-start situations.