Towards Context Integration in Content Based Recommender System for Smart Tourism

Hadjhenni Mhamed; Dennouni Nassim; Slama Zohra

Article Details

Towards Context Integration in Content Based Recommender System for Smart Tourism

Authors:

Hadjhenni Mhamed | Dennouni Nassim | Slama Zohra

Publisher:

Université Hassiba Ben Bouali de Chlef

Journal:

Revue Nature et Technologie Vol.16 Issue 2, pp.7-16

Document Type:

Article

Publication Date:

7/2024

Document Language:

English

Document ID (Org No.):

2001408013

pISSN:

2437-0312

Keywords:

Abstract:

 Recommendation systems (RS) are now essential in various sectors of daily life, especially in tourism, where they assist tourists in making better choices about which points of interest (POIs) to visit. However, these RSs face a number of challenges, including the risk of a cold start when a new POI is taken into account, and the problem of tourist dissatisfaction with recommended POIs. To address these issues, we focused on Content-Based Recommendation Systems (CBRS) that mitigate the problem of data sparsity and integrate contextual information from tourists during their visits. In this paper, we refined tourist feedbacks using contextual variables like time and companion during the visit. Next, we implemented a CBRS using the vector representation of POIs with the Term Frequency/Inverse Term Frequency (TF/IDF) method to compute similarity between tourist profiles and POI characteristics. With this type of similarity, our system can run three variants of CBRS in parallel: the first ignores the tourist context, the second incorporates the temporal context, and the third takes into account the companion context. Finally, to compare these three recommendation variants, we used an online evaluation to calculate the Click Through Rate (CTR) metric. According to our initial experiments, the CBRS with the integration of temporal context outperforms the other two implemented RS.

Article Details

Towards Context Integration in Content Based Recommender System for Smart Tourism

Authors:

Hadjhenni Mhamed | Dennouni Nassim | Slama Zohra

Publisher:

Université Hassiba Ben Bouali de Chlef

Journal:

Revue Nature et Technologie Vol.16 Issue 2, pp.7-16

Document Type:

Article

Publication Date:

7/2024

Document Language:

English

Document ID (Org No.):

2001408013

pISSN:

2437-0312

Recommender system

Content-based

context integration

Contextual pre-filtering

TF/IDF

Acceptation rate

Issues

Article Details

Towards Context Integration in Content Based Recommender System for Smart Tourism

Authors: Hadjhenni Mhamed | Dennouni Nassim | Slama Zohra

Publisher: Université Hassiba Ben Bouali de Chlef

Journal: Revue Nature et Technologie Vol.16 Issue 2, pp.7-16

Document Type: Article

Publication Date: 7/2024

Document Language: English

Document ID (Org No.): 2001408013

pISSN: 2437-0312

Recommender system

Content-based

context integration

Contextual pre-filtering

TF/IDF

Acceptation rate

Issues

Authors:

Hadjhenni Mhamed | Dennouni Nassim | Slama Zohra

Publisher:

Université Hassiba Ben Bouali de Chlef

Journal:

Revue Nature et Technologie Vol.16 Issue 2, pp.7-16

Document Type:

Article

Publication Date:

7/2024

Document Language:

English

Document ID (Org No.):

2001408013

pISSN:

2437-0312