{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T04:12:01Z","timestamp":1748751121631,"version":"3.41.0"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319274324"},{"type":"electronic","value":"9783319274331"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-27433-1_19","type":"book-chapter","created":{"date-parts":[[2015,12,1]],"date-time":"2015-12-01T06:41:02Z","timestamp":1448952062000},"page":"274-288","source":"Crossref","is-referenced-by-count":2,"title":["Modeling Social Media Content with Word Vectors for Recommendation"],"prefix":"10.1007","author":[{"given":"Ying","family":"Ding","sequence":"first","affiliation":[]},{"given":"Jing","family":"Jiang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,12,2]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Baltrunas, L., Makcinskas, T., Ricci, F.: Group recommendations with rank aggregation and collaborative filtering. In: Proceedings of the Fourth ACM Conference on Recommender Systems, pp. 119\u2013126 (2010)","DOI":"10.1145\/1864708.1864733"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Bao, Y., Fang, H., Zhang, J.: TopicMF: Simultaneously exploiting ratings and reviews for recommendation. In: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, pp. 2\u20138 (2014)","DOI":"10.1609\/aaai.v28i1.8715"},{"key":"19_CR3","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. Journal of machine learning research 3, 993\u20131022 (2003)","journal-title":"Journal of machine learning research"},{"key":"19_CR4","series-title":"Lecture Notes in Computer Science","first-page":"61","volume-title":"User Modeling, Adaptation, and Personalization","author":"G Chen","year":"2014","unstructured":"Chen, G., Chen, L.: Recommendation based on contextual opinions. In: Dimitrova, V., Kuflik, T., Chin, D., Ricci, F., Dolog, P., Houben, G.-J. (eds.) UMAP 2014. LNCS, vol. 8538, pp. 61\u201373. Springer, Heidelberg (2014)"},{"key":"19_CR5","unstructured":"Clinchant, S., Perronnin, F.: Aggregating continuous word embeddings for information retrieval. In: Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, pp. 100\u2013109 (2013)"},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Das, R., Zaheer, M., Dyer, C.: Gaussian LDA for topic models with word embeddings. In: Proceedings of the 53nd Annual Meeting of the Association for Computational Linguistics (2015)","DOI":"10.3115\/v1\/P15-1077"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Gorla, J., Lathia, N., Robertson, S., Wang, J.: Probabilistic group recommendation via information matching. In: Proceedings of the 22nd International Conference on World Wide Web, pp. 495\u2013504 (2013)","DOI":"10.1145\/2488388.2488432"},{"key":"19_CR8","doi-asserted-by":"crossref","unstructured":"Guo, G., Zhang, J., Yorke-Smith, N.: Trustsvd: collaborative filtering with both the explicit and implicit influence of user trust and of item ratings. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, pp. 123\u2013129 (2015)","DOI":"10.1609\/aaai.v29i1.9153"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Hu, Y., Koren, Y., Volinsky, C.: Collaborative filtering for implicit feedback datasets. In: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, pp. 263\u2013272 (2008)","DOI":"10.1109\/ICDM.2008.22"},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"Kalchbrenner, N., Grefenstette, E., Blunsom, P.: A convolutional neural network for modelling sentences. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pp. 1749\u20131751 (2014)","DOI":"10.3115\/v1\/P14-1062"},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"Kgeb\u0141ck, M., Mogren, O., Tahmasebi, N., Dubhashi, D.: Extractive summarization using continuous vector space models. In: Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality, pp. 31\u201339 (2014)","DOI":"10.3115\/v1\/W14-1504"},{"key":"19_CR12","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 42, 30\u201337 (2009)","journal-title":"Computer"},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Krestel, R., Fankhauser, P., Nejdl, W.: Latent dirichlet allocation for tag recommendation. In: Proceedings of the Third ACM Conference on Recommender Systems, pp. 61\u201368 (2009)","DOI":"10.1145\/1639714.1639726"},{"key":"19_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1007\/978-3-642-35386-4_31","volume-title":"Social Informatics","author":"SM Kywe","year":"2012","unstructured":"Kywe, S.M., Lim, E.-P., Zhu, F.: A survey of recommender systems in twitter. In: Aberer, K., Flache, A., Jager, W., Liu, L., Tang, J., Gu\u00e9ret, C. (eds.) SocInfo 2012. LNCS, vol. 7710, pp. 420\u2013433. Springer, Heidelberg (2012)"},{"key":"19_CR15","doi-asserted-by":"crossref","unstructured":"Ling, G., Lyu, M.R., King, I.: Ratings meet reviews, a combined approach to recommend. In: Proceedings of the 8th ACM Conference on Recommender Systems, pp. 105\u2013112 (2014)","DOI":"10.1145\/2645710.2645728"},{"key":"19_CR16","doi-asserted-by":"crossref","unstructured":"Liu, X., He, Q., Tian, Y., Lee, W.C., McPherson, J., Han, J.: Event-based social networks: linking the online and offline social worlds. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1032\u20131040 (2012)","DOI":"10.1145\/2339530.2339693"},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Liu, Y., Liu, Z., Chua, T., Sun, M.: Topical word embeddings. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, pp. 2418\u20132424 (2015)","DOI":"10.1609\/aaai.v29i1.9522"},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"Ma, H., Yang, H., Lyu, M.R., King, I.: Sorec: social recommendation using probabilistic matrix factorization. In: Proceedings of the 17th ACM Conference on Information and Knowledge Management, pp. 931\u2013940 (2008)","DOI":"10.1145\/1458082.1458205"},{"key":"19_CR19","doi-asserted-by":"crossref","unstructured":"McAuley, J., Leskovec, J.: Hidden factors and hidden topics: Understanding rating dimensions with review text. In: Proceedings of the 7th ACM Conference on Recommender Systems, pp. 165\u2013172 (2013)","DOI":"10.1145\/2507157.2507163"},{"key":"19_CR20","first-page":"3111","volume":"26","author":"T Mikolov","year":"2013","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. Advances in Neural Information Processing Systems 26, 3111\u20133119 (2013)","journal-title":"Advances in Neural Information Processing Systems"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Neelakantan, A., Shankar, J., Passos, A., McCallum, A.: Efficient non-parametric estimation of multiple embeddings per word in vector space. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pp. 1059\u20131069 (2014)","DOI":"10.3115\/v1\/D14-1113"},{"issue":"151","key":"19_CR22","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1090\/S0025-5718-1980-0572855-7","volume":"35","author":"J Nocedal","year":"1980","unstructured":"Nocedal, J.: Updating QUASI-Newton matrices with limited storage. Mathematics of Computation 35(151), 773\u2013782 (1980)","journal-title":"Mathematics of Computation"},{"key":"19_CR23","doi-asserted-by":"crossref","unstructured":"Pan, R., Zhou, Y., Cao, B., Liu, N.N., Lukose, R., Scholz, M., Yang, Q.: One-class collaborative filtering. In: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, pp. 502\u2013511 (2008)","DOI":"10.1109\/ICDM.2008.16"},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Pennacchiotti, M., Gurumurthy, S.: Investigating topic models for social media user recommendation. In: Proceedings of the 20th International Conference Companion on World Wide Web, pp. 101\u2013102 (2011)","DOI":"10.1145\/1963192.1963244"},{"key":"19_CR25","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: Glove: Global Vectors for Word Representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"issue":"1","key":"19_CR26","first-page":"3:1","volume":"47","author":"Y Shi","year":"2014","unstructured":"Shi, Y., Larson, M., Hanjalic, A.: Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges. ACM Computation Survey 47(1), 3:1\u20133:45 (2014)","journal-title":"ACM Computation Survey"},{"key":"19_CR27","doi-asserted-by":"crossref","unstructured":"Socher, R., Perelygin, A., Wu, J., Chuang, J., Manning, C.D., Ng, A.Y., Potts, C.: Recursive deep models for semantic compositionality over a sentiment treebank. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 1631\u20131642 (2013)","DOI":"10.18653\/v1\/D13-1170"},{"key":"19_CR28","doi-asserted-by":"crossref","unstructured":"Wallach, H.M.: Topic modeling: Beyond bag-of-words. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 977\u2013984 (2006)","DOI":"10.1145\/1143844.1143967"},{"key":"19_CR29","doi-asserted-by":"crossref","unstructured":"Wang, C., Blei, D.M.: Collaborative topic modeling for recommending scientific articles. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 448\u2013456 (2011)","DOI":"10.1145\/2020408.2020480"},{"key":"19_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1007\/978-3-642-38844-6_24","volume-title":"User Modeling, Adaptation, and Personalization","author":"F Wang","year":"2013","unstructured":"Wang, F., Pan, W., Chen, L.: Recommendation for new users with partial preferences by integrating product reviews with static specifications. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds.) UMAP 2013. LNCS, vol. 7899, pp. 281\u2013288. Springer, Heidelberg (2013)"},{"key":"19_CR31","doi-asserted-by":"crossref","unstructured":"Wang, H., Wang, N., Yeung, D.: Collaborative deep learning for recommender systems. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1235\u20131244 (2015)","DOI":"10.1145\/2783258.2783273"},{"key":"19_CR32","doi-asserted-by":"crossref","unstructured":"Yan, X., Guo, J., Lan, Y., Cheng, X.: A biterm topic model for short texts. In: Proceedings of the 22nd International Conference on World Wide Web, pp. 1445\u20131456 (2013)","DOI":"10.1145\/2488388.2488514"},{"key":"19_CR33","doi-asserted-by":"crossref","unstructured":"Zhang, W., Wang, J., Feng, W.: Combining latent factor model with location features for event-based group recommendation. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 910\u2013918 (2013)","DOI":"10.1145\/2487575.2487646"}],"container-title":["Lecture Notes in Computer Science","Social Informatics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-27433-1_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T16:32:04Z","timestamp":1748709124000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-27433-1_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319274324","9783319274331"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-27433-1_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}