2015
DOI: 10.1007/978-3-319-25252-0_8
|View full text |Cite
|
Sign up to set email alerts
|

Experimenting Analogical Reasoning in Recommendation

Abstract: OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Abstract. Recommender systems aim at providing suggestions of interest for end-users. Two main types of approach underlie existing recommender systems: content-based methods and collaborative filtering. In this paper, encouraged by good results obtained in classification by analogical proportion-based techniques, we investigate the possibility of using analogy as the main… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
4
0

Year Published

2016
2016
2019
2019

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 12 publications
0
4
0
Order By: Relevance
“…The idea of applying analogy to recommendation is not entirely new. Thus, Sakaguchi et al [8] use four-terms analogy in a case-based reasoning style for proposing dishes to users, while three of the authors of the present paper have more recently proposed a 4-(situation, conclusion)-based analogical mechanism for predicting missing ratings on the basis of known ratings [9]. This latter work yielded reasonably good results, but was extremely heavy computationally speaking.…”
Section: Introductionmentioning
confidence: 68%
See 2 more Smart Citations
“…The idea of applying analogy to recommendation is not entirely new. Thus, Sakaguchi et al [8] use four-terms analogy in a case-based reasoning style for proposing dishes to users, while three of the authors of the present paper have more recently proposed a 4-(situation, conclusion)-based analogical mechanism for predicting missing ratings on the basis of known ratings [9]. This latter work yielded reasonably good results, but was extremely heavy computationally speaking.…”
Section: Introductionmentioning
confidence: 68%
“…Using analogical reasoning for recommendation as been studied in [9]. Authors strictly follow the analogical inference principle described in section II-B for making predictions, using analogical proportions between users.…”
Section: B Analogical Proportions Between Usersmentioning
confidence: 99%
See 1 more Smart Citation
“…Analogical reasoning has recently attracted increased attention in the field of artificial intelligence because an analogy is a very basic form of logical inference [9]. It has been widely applied to natural language processing (NLP) tasks such as question answering [10–12], word segmentation [13], latent relational analysis [14, 15], and recommendation systems [16].…”
Section: Introductionmentioning
confidence: 99%