[ACM Press the 35th international ACM SIGIR conference - Portland, Oregon, USA (2012.08.12-2012.08.16)] Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12 - Entity sentiment extraction using text ranking

[ACM Press the 35th international ACM SI

✍ O'Neil, John 📂 Article 📅 2012 🏛 ACM Press ⚖ 397 KB

Entity extraction and sentiment classification are among the most common types of information derived from documents, but the problem of directly associating entities and sentiment has received less attention. We use TextRank on a graph linking entities and sentiment-laden words and phrases. We extr

[ACM Press the 35th international ACM SI

[ACM Press the 35th international ACM SIGIR conference - Portland, Oregon, USA (2012.08.12-2012.08.16)] Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12 - Explaining neighborhood-based recommendations

✍ Cleger-Tamayo, Sergio; Fernandez-Luna, Juan M.; Huete, Juan F. 📂 Article 📅 2012 🏛 ACM Press ⚖ 571 KB

[ACM Press the 35th international ACM SI

[ACM Press the 35th international ACM SIGIR conference - Portland, Oregon, USA (2012.08.12-2012.08.16)] Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12 - Explaining neighborhood-based recommendations

✍ Cleger-Tamayo, Sergio; Fernandez-Luna, Juan M.; Huete, Juan F. 📂 Article 📅 2012 🏛 ACM Press ⚖ 571 KB

Recommender Systems (RS) attempt to discover users' preferences, and to learn about them in order to anticipate their needs. The main task normally associated with a RS is to offer suggestions for items. However, for most users, RSs are black boxes, computerized oracles that give advice, but cannot

[ACM Press the 35th international ACM SI

[ACM Press the 35th international ACM SIGIR conference - Portland, Oregon, USA (2012.08.12-2012.08.16)] Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12 - Methods for mining and summarizing text conversations

✍ Carenini, Giuseppe; Murray, Gabrial 📂 Article 📅 2012 🏛 ACM Press ⚖ 491 KB

[ACM Press the 35th international ACM SI

[ACM Press the 35th international ACM SIGIR conference - Portland, Oregon, USA (2012.08.12-2012.08.16)] Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12 - Learning to rank social update streams

✍ Hong, Liangjie; Bekkerman, Ron; Adler, Joseph; Davison, Brian D. 📂 Article 📅 2012 🏛 ACM Press ⚖ 720 KB

[ACM Press the 35th international ACM SI

[ACM Press the 35th international ACM SIGIR conference - Portland, Oregon, USA (2012.08.12-2012.08.16)] Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12 - Learning to rank social update streams

✍ Hong, Liangjie; Bekkerman, Ron; Adler, Joseph; Davison, Brian D. 📂 Article 📅 2012 🏛 ACM Press ⚖ 720 KB

As online social media further integrates deeper into our lives, we spend more time consuming social update streams that come from our online connections. Although social update streams provide a tremendous opportunity for us to access information on-the-fly, we often complain about its relevance. S