{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:21:07Z","timestamp":1780636867543,"version":"3.54.1"},"reference-count":30,"publisher":"World Scientific Pub Co Pte Lt","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:p> Restaurant recommendation is one of the most recommendation problems because the result of recommendation varies in different environments. Many methods have been proposed to recommend restaurants in a mobile environment by considering user preference, restaurant attributes, and location. However, there are few restaurant recommender systems according to the internet of vehicles environment. This paper presents a recommender system based on the prediction of traffic conditions in the internet of vehicles environment. This recommender system uses a phased selection method to recommend restaurants. The first stage is to screen restaurants that are on the user\u2019s driving route; the second stage is to recommend restaurants from the user attributes, restaurant attributes (with traffic conditions), and vehicle context, using a deep learning model. The experimental evaluation shows that the proposed recommender system is both efficient and effective. <\/jats:p>","DOI":"10.1142\/s0218001421590448","type":"journal-article","created":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T07:54:38Z","timestamp":1631519678000},"page":"2159044","source":"Crossref","is-referenced-by-count":8,"title":["Restaurant Recommendation in Vehicle Context Based on Prediction of Traffic Conditions"],"prefix":"10.1142","volume":"35","author":[{"given":"Zehong","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, P.\u00a0R.\u00a0China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianhua","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, P.\u00a0R.\u00a0China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shigen","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, P.\u00a0R.\u00a0China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minglu","family":"Li","sequence":"additional","affiliation":[{"name":"College of Mathematics and Computer Science, Zhejiang Normal University, Zhejiang, P.\u00a0R.\u00a0China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"219","published-online":{"date-parts":[[2021,9,6]]},"reference":[{"key":"S0218001421590448BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"S0218001421590448BIB002","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2568021"},{"key":"S0218001421590448BIB003","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"S0218001421590448BIB004","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"S0218001421590448BIB006","first-page":"116","volume-title":"2013 IEEE 14th Int. 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