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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Notes
- 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.
- 3.
- 4.
- 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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Acknowledgements
This work is supported by the Natural Science Foundation of China (61672322, 61672324), the Natural Science Foundation of Shandong Province (2016ZRE27468) and the Fundamental Research Funds of Shandong University. We also thank Hisense for providing us with a large-scale watch log on smart TVs.
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Lian, T., Li, Z., Chen, Z., Ma, J. (2017). The Impact of Profile Coherence on Recommendation Performance for Shared Accounts on Smart TVs. In: Wen, J., Nie, J., Ruan, T., Liu, Y., Qian, T. (eds) Information Retrieval. CCIR 2017. Lecture Notes in Computer Science(), vol 10390. Springer, Cham. https://doi.org/10.1007/978-3-319-68699-8_3
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