A Study of Box Office Prediction Using the Query Logs of Search Engines
碩士 === 國立臺灣大學 === 資訊管理學研究所 === 99 === Sales forecasting is essential to decisions making and processes planning. Any error of sales forecasting will affect the competitive advantage of corporations. In the era of Web2.0, word-of-mouth and network behaviors are representative of consumer interests. I...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/55892622402482634442 |
| id |
ndltd-TW-099NTU05396039 |
|---|---|
| record_format |
oai_dc |
| spelling |
ndltd-TW-099NTU053960392015-10-16T04:03:09Z http://ndltd.ncl.edu.tw/handle/55892622402482634442 A Study of Box Office Prediction Using the Query Logs of Search Engines 以搜尋引擎查詢紀錄為基礎之電影票房研究 Cheng-Yu Wu 吳承宇 碩士 國立臺灣大學 資訊管理學研究所 99 Sales forecasting is essential to decisions making and processes planning. Any error of sales forecasting will affect the competitive advantage of corporations. In the era of Web2.0, word-of-mouth and network behaviors are representative of consumer interests. In this study, we study word-of-mouth effect and the power of wisdom of crowds for sales forecasts. We also incorporate the query logs of search engines into a time series based Bass Model to construct a sales prediction model which produce accurate sales forecasting. Evaluations based on a movie dataset demonstrate that the query logs of search engines are effective in box office predictions. 陳建錦 2011 學位論文 ; thesis 37 zh-TW |
| collection |
NDLTD |
| language |
zh-TW |
| format |
Others
|
| sources |
NDLTD |
| description |
碩士 === 國立臺灣大學 === 資訊管理學研究所 === 99 === Sales forecasting is essential to decisions making and processes planning. Any error of sales forecasting will affect the competitive advantage of corporations. In the era of Web2.0, word-of-mouth and network behaviors are representative of consumer interests. In this study, we study word-of-mouth effect and the power of wisdom of crowds for sales forecasts. We also incorporate the query logs of search engines into a time series based Bass Model to construct a sales prediction model which produce accurate sales forecasting. Evaluations based on a movie dataset demonstrate that the query logs of search engines are effective in box office predictions.
|
| author2 |
陳建錦 |
| author_facet |
陳建錦 Cheng-Yu Wu 吳承宇 |
| author |
Cheng-Yu Wu 吳承宇 |
| spellingShingle |
Cheng-Yu Wu 吳承宇 A Study of Box Office Prediction Using the Query Logs of Search Engines |
| author_sort |
Cheng-Yu Wu |
| title |
A Study of Box Office Prediction Using the Query Logs of Search Engines |
| title_short |
A Study of Box Office Prediction Using the Query Logs of Search Engines |
| title_full |
A Study of Box Office Prediction Using the Query Logs of Search Engines |
| title_fullStr |
A Study of Box Office Prediction Using the Query Logs of Search Engines |
| title_full_unstemmed |
A Study of Box Office Prediction Using the Query Logs of Search Engines |
| title_sort |
study of box office prediction using the query logs of search engines |
| publishDate |
2011 |
| url |
http://ndltd.ncl.edu.tw/handle/55892622402482634442 |
| work_keys_str_mv |
AT chengyuwu astudyofboxofficepredictionusingthequerylogsofsearchengines AT wúchéngyǔ astudyofboxofficepredictionusingthequerylogsofsearchengines AT chengyuwu yǐsōuxúnyǐnqíngcháxúnjìlùwèijīchǔzhīdiànyǐngpiàofángyánjiū AT wúchéngyǔ yǐsōuxúnyǐnqíngcháxúnjìlùwèijīchǔzhīdiànyǐngpiàofángyánjiū AT chengyuwu studyofboxofficepredictionusingthequerylogsofsearchengines AT wúchéngyǔ studyofboxofficepredictionusingthequerylogsofsearchengines |
| _version_ |
1718092008028897280 |