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Erschienen in:
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

The Impact of Profile Coherence on Recommendation Performance for Shared Accounts on Smart TVs

verfasst von : Tao Lian, Zhengxian Li, Zhumin Chen, Jun Ma

Erschienen in: Information Retrieval

Verlag: Springer International Publishing

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Abstract

Most recommendation algorithms assume that an account represents a single user, and capture a user’s interest by what he/she has preferred. However, in some applications, e.g., video recommendation on smart TVs, an account is often shared by multiple users who tend to have disparate interests. It poses great challenges for delivering personalized recommendations. In this paper, we propose the concept of profile coherence to measure the coherence of an account’s interests, which is computed as the average similarity between items in the account profile in our implementation. Furthermore, we evaluate the impact of profile coherence on the quality of recommendation lists for coherent and incoherent accounts generated by different variants of item-based collaborative filtering. Experiments conducted on a large-scale watch log on smart TVs conform that the profile coherence indeed impact the quality of recommendation lists in various aspects—accuracy, diversity and popularity.

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Vorheriges Kapitel Dynamic-K Recommendation with Personalized Decision Boundary
Nächstes Kapitel Academic Access Data Analysis for Literature Recommendation
Fußnoten
1
The profile coherence are expected to influence the recommendation performance of other collaborative filtering algorithms too, even content-based filtering methods.
 
2
We have also experimented with the Jaccard similarity, and the qualitative conclusions are the same.
 
5
The qualitative conclusions are the same when we evluate the accuracy of a recommendation list by the other measures such as recall, MRR and MAP.
 
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Metadaten
Titel
The Impact of Profile Coherence on Recommendation Performance for Shared Accounts on Smart TVs
verfasst von
Tao Lian
Zhengxian Li
Zhumin Chen
Jun Ma
Copyright-Jahr
2017
Buch
Information Retrieval

Print ISBN: 978-3-319-68698-1

Electronic ISBN: 978-3-319-68699-8

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-68699-8_3

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